Abstract: A platform operates in an environment with other platforms using active sensing. The platform includes an active sensing system configured to provide a point cloud associated with the environment. The point cloud is used to navigate the platform. The active sensing system includes a transmitter configured to provide pulses of electromagnetic energy in a light band or a radar band or sonic energy and a receiver configured to receive returns associated with the pulses striking one or more targets in the environment. The transmitter is configured to impose a code onto the pulses, and the receiver is configured to detect the code to determine when the pulses of light where transmitted or to determine a source of the pulses.

Abstract: Techniques for cloud forecast using configuration engine, segment cloud coverage determination engine, and trained forecast models are described herein. The disclosed techniques include generating a configuration mask based on a type of an optical component for capturing a plurality of sky images and determining cloud coverages of a plurality of corresponding segments by applying the configuration mask and a segment cloud coverage determination algorithm to the plurality of images. The disclosed techniques include training a plurality of forecast models for forecasting cloud coverages of the plurality of corresponding segments using the determined cloud coverages. The plurality of forecast models correlate cloud coverages of the plurality of corresponding segments at a time point with a cloud coverage of any particular segment at a later time point. The plurality of trained forecast models generate data indicative of cloud coverages of the plurality corresponding segments at a future time point.

Abstract: An apparatus, method, and non-transitory medium for betting on weather predictions are disclosed herein. A plurality of longitude and latitude coordinate pairs may be received from a remote device. The display device may render data on a graphical user interface representing a binary option based on whether a storm will make landfall within the certain radius. The display device may show a plurality of landfall probabilities on the map. A request to purchase the binary option may be received. It may be determined whether the landfall location corresponds to a zip code associated with the given longitude latitude pair in the memory.

Abstract: A farm field management apparatus: in generation of each task plan candidate, selects at least one task that includes harvest task, selects, a resource that is used to carry out each selected task, determines a task time within a predetermined period in which each selected task is carried out, includes the selected task, the selected resource, and the determined task time in each task plan candidate; obtains; information about a harvest impeding factor that is predicted for a harvest time of each task plan candidate; calculate an income from a harvest of each task plan candidate, based on a relevant piece of the harvest impeding factor information, and on the quantity and unit price of each crop; and calculates task cost of each task plan candidate based on a resource utilization period of the resource included in each task plan candidate, and on the utilization cost.

Abstract: An apparatus is presented for refractive beam steering in a LIDAR system. The apparatus includes a first scanner that receives a beam transmitted along an optical axis and projects the beam as a plurality of scan lines in a first plane between a first angle and a second angle, wherein the first angle and the second angle are defined with respect to the optical axis; a motor that is coupled to the first scanner; one or more processors that are configured to generate rotation information based on one or more components of a particular waveform and transmit a signal to the motor, the signal causing the motor to rotate the first scanner based on the rotation information.

Abstract: Methods and systems in accordance with the present invention provide a continuum measure of visibility from a single image without prior knowledge of the camera system or the cameras in the system. This may be, for example, a score on the weather visibility quality of the image, ranging from good to poor, or a numeric score representing the weather visibility quality of the terrain in the image. This may be done without prior knowledge of the camera system, the camera that took the image, or the environment. It is also done with the single image without using multiple images, or reference images. The system derives a real-time continuum measure of visibility from a single daytime image, with unknown camera quality, system configuration, and environmental conditions.

Abstract: A photovoltaic system's configuration specification can be inferred by an evaluative process that searches through a space of candidate values for the variables in the specification. Each variable is selected in a specific ordering that narrows the field of candidate values. A constant horizon is assumed to account for diffuse irradiance insensitive to specific obstruction locations relative to the photovoltaic system's geographic location. Initial values for the azimuth angle, constant horizon obstruction elevation angle, and tilt angle are determined, followed by final values for these variables. The effects of direct obstructions that block direct irradiance in the areas where the actual horizon and the range of sun path values overlap relative to the geographic location are evaluated to find the exact obstruction elevation angle over a range of azimuth bins or directions. The photovoltaic temperature response coefficient and the inverter rating or power curve of the photovoltaic system are determined.

Abstract: An approach and system for receiving data from a thermostat in a building, treating the data as representative of a thermal response model or system, and determining a relationship between a rate of building internal temperature change and change in outdoor temperature to provide an indication of how well a building is insulated versus a thermal mass of the building.

Abstract: The disclosed subject matter relates to a database and systems associated therewith for space weather data (code name DONKI for Database of Notification, Knowledge, Information) relating to various space weather phenomena or phenomenon, such as, for example, solar flare, solar energetic particle, coronal mass ejection, interplanetary shock, magnetopause crossing, geomagnetic storm, radiation belt enhancement and high speed stream.

Abstract: Described herein are systems and method for monitoring weather conditions and controlling field operations based on the weather conditions. In one embodiment, a system for monitoring weather conditions for field operations includes a plurality of weather devices for monitoring weather conditions of fields with at least at one weather device in proximity to each field being monitored and at least one weather device having an electronics module for determining weather data including precipitation data. The system also includes an agricultural computer system having at least one processing unit for executing instructions for monitoring weather conditions. The at least one processing unit is configured to execute instructions to receive weather data from the plurality of weather devices for monitoring weather conditions of fields, to process the weather data, and to generate data including precipitation rate for monitoring weather conditions and operations of the plurality of weather devices.

Abstract: A wind farm supervision monitoring system includes: a data collection unit configured to collect data about a status monitoring of each wind turbine from at least one site server; an abnormality status detection unit configured to detect an abnormality status of each wind turbine based on the collected data about the status monitoring and issue an alarm; a wind data management unit configured to early detect a fault of each wind turbine and or monitor performance of each wind turbine based on the data about the status monitoring or the data about the abnormality status; and a supervision unit configured to manage a turbine operation status and operation and maintenance of each wind turbine and provide information for establishing an operation and maintenance plan for the detected abnormality status of the wind turbine.

Abstract: A processor-implemented method receives a plurality of pollution measurement data, a plurality of geodetic data, and a plurality of meteorological data associated with a geographical area. The processor-implemented method generates a grid of the geographical area, whereby the generated grid virtually divides the geographical area into a plurality of cells. The processor-implemented method associates the received plurality of measurement data, the received plurality of geodetic data, and the received plurality of meteorological data with a cell in the generated grid. The processor-implemented method determines a pollutant contribution value of the cell based on the pollution measurement data associated with the cell and a physical contribution of a plurality of pollutants. The processor-implemented method identifies the pollution source based on a paired comparison of the plurality of cells and displays the location on the geographical area associated with the identified pollution source.

Abstract: A method described herein includes an act of receiving data that is indicative of predicted weather conditions for a particular geographic region, wherein the particular geographic region has an energy generation system therein, and wherein the energy generation system utilizes at least one renewable energy resource to generate electrical power. The method also includes the act of scheduling a computational workload for at least one computer in a data center based at least in part upon the data that is indicative of the predicted weather conditions for the particular geographic region.

Abstract: There is disclosed a method and a system for creating a weather forecast. The method is implemented on a server. The method comprises: receiving, by the machine learning module, at least one current weather measurement parameter at a measurement time; receiving, by the machine learning module, a first average value of a historical weather parameter for the measurement time; generating, by the machine learning module, a normalized value of the weather measurement parameter based on a difference between the current weather measurement parameter and the first average value of the historical weather parameter for the measurement time; training the machine learning module to create a normalized value of a weather forecasting parameter based on, at least partially, the normalized value of the weather measuring parameter, the normalized value of the weather forecasting parameter being associated with a future forecasting time, the future forecasting time occurring after the measurement time.

Abstract: Systems and methods for managing network operations are described. An illustrative system includes a plurality of network components, in which each network component generates a plurality of network component data, and a mediation node that receives the plurality of network component data. The mediation node associates a plurality of time series data and a network topology with the network component data. The mediation node includes at least one baseline module that receives a selected subset of the network component data and generates at least one baseline for anomaly detection. The system may further include at least one application component communicatively coupled to the mediation node, and the application component may receive the time series data, the plurality of subsets of the network component data, and a plurality of baselines and identify a relationship.

Abstract: A method for short term load forecasting in a power grid includes obtaining historical data comprising power data, load data and weather data corresponding to time index data recorded from a location in a power distribution network of the power grid. The method further includes receiving power grid data comprising a plurality of power values, and a plurality of weather parameter values corresponding to a plurality of recent time instant values. The method also includes generating modified historical data using statistical techniques to rectify error conditions. The method further includes estimating one or more power values at a future time instant based on the modified historical data and the power grid data. The method also includes balancing load of the power distribution network based on the estimated one or more power values.

Abstract: A plurality of events associated with each of a plurality of computing nodes that form part of a network topology are monitored. The network topology includes antivirus tools to detect malicious software prior to it accessing one of the computing nodes. Thereafter, it is determined that, using at least one machine learning model, at least one of the events is indicative of malicious activity that has circumvented or bypassed the antivirus tools. Data is then provided that characterizes the determination. Related apparatus, systems, techniques and articles are also described.

Abstract: A system and methods for unsupervised land use and land cover detection using a classifier that produces a plurality of class image layers which are filtered to remove misclassified same-label pixel groupings, a class resolution module that reduces multiple pixel labels to a single one if applicable and a reconstruction module that generates the output land use and land cover image.

Abstract: A method for calibrating forecasts involving temperature, precipitation, and other weather related variables is provided. In an embodiment historical ensemble-based forecasts and historical observations are received by an agricultural intelligence computing system. Historical differences are determined between the forecasts and the observations corresponding to the forecasts and stored in the volatile memory of the agricultural intelligence computing system. The agricultural intelligence computing system receives current ensemble-based forecasts and a request for improved forecasts. The agricultural intelligence computing system retrieves the historical differences and uses a combination of the historical differences and the current ensemble-based forecasts to create probability distributions for the weather for each lead day. The agricultural intelligence computing system then samples from the probability distributions to create improved ensemble-based forecasts at the requested location.

Abstract: A method can include generating a feature vector based on image data and soil data, the image data of an image of the geographical region produced by an aerial vehicle, the image data representative of an attribute of the attributes of the soil or foliage, and the soil data indicating physical characteristics of soil of cells within the geographical region, producing a matrix including entries indicating how similar the cells are in terms of the image data and the soil data based on the feature vector, and producing based on the matrix, data indicating a cluster of clusters to which each cell of the cells belongs, each cell more similar to other cells of the cluster to which they belong than cells of other clusters, each cluster indicating a location at which to situate a sensor of the sensors to monitor the attribute.

Abstract: Techniques for automatically determining, on a pixel by pixel basis, whether imagery includes ground images or is obscured by cloud cover. The techniques include training a Neural Network, making an initial determination of cloud or ground by using the Neural Network, and performing a max-flow, min-cut operation on the image to determine whether each pixel is a cloud or ground imagery.

Abstract: A method for temperature interpolation is provided. In an embodiment climatology records and temperature observations are received by a weather computing system over a network from an outside source. The temperature observations are subtracted from the climatology records to create anomalies. The anomalies are extrapolated across a map using various modeling methods and stored in the volatile memory of weather computing system. When the weather computing system receives a request for a temperature at a specific location, the weather computing system retrieves the anomaly field from the volatile memory and applies it to the climatology records at the requested location to determine the temperature for that location.

Abstract: In an approach, a method for fusing point data with areal averages is performed by a computing system. The fusion procedure is coherent, in the sense that the computing system takes into account what the areal averages represent with respect to the point data. The overarching goal is to fit a model that takes into account the information derived from both data sets. The areal averages provide an estimate for what the integral of a model representing the behavior of the environmental variable should be over a particular district and the point values indicate the estimated value at particular locations. Thus, the integral of the fitted model over a district of the grid should approximate the value provided by the areal averages while also approximating the value provided by the point data for locations which are provided by the point data.

Abstract: The calculation of the variance of a correlation coefficient matrix for a photovoltaic fleet can be completed in linear space as a function of decreasing distance between pairs of photovoltaic plant locations. When obtaining irradiance data from a satellite imagery source, irradiance statistics must first be converted from irradiance statistics for an area into irradiance statistics for an average point within a pixel in the satellite imagery. The average point statistics are then averaged across all satellite pixels to determine the average across the whole photovoltaic fleet region. Where pairs of photovoltaic systems are located too far away from each other to be statistically correlated, the correlation coefficients in the matrix for that pair of photovoltaic systems are effectively zero. Consequently, the double summation portion of the calculation can be simplified to eliminate zero values based on distance between photovoltaic plant locations, substantially decreasing the size of the problem space.

Abstract: Systems and methods for generating virtual reality user interfaces are described. The virtual reality user interface may include a three-dimensional model that simulates an actual environment. In addition, the virtual reality user interface may include a plurality of cells arranged at a simulated depth and with a simulated curvature. Further, the plurality of cells may be divided into a plurality of subcells. The subcells may be sized based at least in part on aspect ratios of images to be included in each of the subcells. Moreover, supplemental cells may be provided around or within the plurality of cells and subcells, each of the supplemental cells representing a collection of items. The variable sizing of the subcells as well as the incorporation of supplemental cells around or within the plurality of cells and subcells may result in a virtual reality user interface with higher user interest and engagement.

Abstract: Long-term photovoltaic system degradation can be predicted through a simple, low-cost solution. The approach requires the configuration specification for a photovoltaic system, as well as measured photovoltaic production data and solar irradiance, such as measured by a reliable third party source using satellite imagery. Note the configuration specification can be derived. This information is used to simulate photovoltaic power production by the photovoltaic system, which is then evaluated against the measured photovoltaic production data to determine the degree of error between simulated and measured production. The simulated production is adjusted to account for the error and to infer degradation that can be projected over time to forecast long-term photovoltaic system degradation.

Abstract: A system and method for displaying nowcasts along a route on a map. The system receives a map request including a departure location and a destination location from a user, and obtains map data including a route between the destination location and the departure location. A nowcaster is used for outputting nowcasts for a number of key points along the route. The system modifies the map data to include a visual indicator for each nowcast for each key point such that when the modified map data is executed on a display the nowcasts are displayed along the route between the departure location and the destination location.

Abstract: A system and method for controlling the brightness level of an electronic display. An image capture device in proximity to the electronic display is used to capture images and/or video of the ambient environmental conditions local to the electronic display. The images and/or video is analyzed to determine the nature of the environmental conditions, and adjustments to the brightness level of the electronic display are made in consideration of said environmental conditions. In some embodiments, the images and/or video captured by the image capture device may be compared to stored images representative of different environmental conditions.

Abstract: A set of characteristics of a period is extracted from a forecast that is applicable to the period and a geographical area. From a repository, a set of historical data is selected corresponding to a historical period, the set of historical data including a historical forecast related to the geographical area, and an actual measurement of wind at a location in the geographical area, the set of historical data having a subset of the set of characteristics. From the set of historical data, a function is computed to represent a discrepancy between the historical forecast and the actual measurement over the historical period. A bias value is computed from the function. By applying the bias to a value in the forecast, an adjusted forecast is produced of winds at a wind turbine located at a location in the geographical area.

Abstract: Image modification using detected symmetry is described. In example implementations, an image modification module detects multiple local symmetries in an original image by discovering repeated correspondences that are each related by a transformation. The transformation can include a translation, a rotation, a reflection, a scaling, or a combination thereof. Each repeated correspondence includes three patches that are similar to one another and are respectively defined by three pixels of the original image. The image modification module generates a global symmetry of the original image by analyzing an applicability to the multiple local symmetries of multiple candidate homographies contributed by the multiple local symmetries. The image modification module associates individual pixels of the original image with a global symmetry indicator to produce a global symmetry association map.

Abstract: A weather data system (100) with coded weather data is provided. The weather data system (100) includes an observation location (110), the observation location (110) comprising a plurality of data sources (112) configured to provide observation data (212). The observation location (110) is configured to at least one of code the observation data (212) into a coded observation data (212?) and provide the observation data (212) to a data aggregator (114) configured to code the observation data (212) into the coded observation data (212?).

Abstract: Presence of natural enemies has a considerable impact on pest severity in a given geo-location. However, manually estimating pest severity or population of natural enemies is cumbersome, inaccurate and not scalable. Systems and methods of the present disclosure enable estimating effective pest severity index by receiving a first set of inputs pertaining to weather associated with a geo-location under consideration; receiving a second set of inputs pertaining to agronomic information; generating a pest forecasting model and a natural enemies forecasting model based on the received first set and the second set of inputs for each pest; and estimating the effective pest severity index based on the generated models. The timing and quantity of pesticide application can be optimized based on the estimated pest severity index. The generated models can be further enhanced continually based on one or more of historical data, participatory sensing inputs, crowdsourcing inputs and management practices.

Abstract: A method of predicting an amount of power that will be generated by a solar power plant at a future time includes: forecasting a value of a data variable at the future time that is likely to affect the ability of the solar power plant to produce electricity (S301); computing a plurality of features from prior observed amounts of power generated by the power plant during different previous durations (S302); determining a trending model from the computed features and the forecasted value (S303); and predicting the amount of power that will be generated by the power plant at the future time from the determined model (S304).

Abstract: A computer-based method of formulating and delivering dynamic, severity-based weather peril scoring includes ingesting human-observed weather data and radar weather data, applying a grid that has a plurality of cells to a map of a geographical region to divide the geographical region into a plurality of areas, with each area being defined by a corresponding one of the grid cells, for each area/grid cell: calculating, with a computer-based processor, a first severity-weighted risk index for at least one weather peril based on the human-observed weather data, calculating, with the computer-based processor, a second severity-weighted risk index for the at least one weather peril based on the radar weather data, and blending, with the computer-based processor, the first severity-weighted risk index and the second severity-weighted risk index to produce a blended risk index.

Abstract: In an approach, a computer receives an observation dataset that identifies one or more ground truth values of an environmental variable at one or more times and a reforecast dataset that identifies one or more predicted values of the environmental variable produced by a forecast model that correspond to the one or more times. The computer then trains a climatology on the observation dataset to generate an observed climatology and trains the climatology on the reforecast dataset to generate a forecast climatology. The computer identifies observed anomalies by subtracting the observed climatology from the observation dataset and forecast anomalies by subtracting the forecast climatology from the reforecast dataset. The computer then models the observed anomalies as a function of the forecast anomalies, resulting in a calibration function, which the computer can then use to calibrate new forecasts received from the forecast model.

Abstract: A system for detecting precipitation is disclosed. In an embodiment, the system includes a capacitive sensor configured to detect a presence of precipitation, a piezo sensor configured to be powered on in response to detection of the presence of the precipitation by the capacitive sensor, and a processor configured to detect a characteristic of the precipitation based at least in part on an output of the piezo sensor. In an embodiment, a method includes receiving a signal from a piezo sensor, sampling the signal at a sampling rate, determining a frequency domain representation of the sampled signal, determining that a magnitude of a resonant frequency associated with the sampled signal meets a threshold, and determining a valid precipitation event based at least in part on the determination that the magnitude of the resonant frequency meets the threshold.

Abstract: A system and method of predicting the impact of forecasted weather, environmental, and geologic events (that include one or more weather/environmental/geologic conditions) by determining a recurrence interval of each past condition in each location, determining the correlation between the past condition and the observable impact of the past event, calculating a predicted observable impact of each past event, calculating a predicted impact of each past event recurring by multiplying the predicted observable impact of the past event by the recurrence interval of the past condition, grouping the past events into a plurality of groups based on the predicted impact of the past condition recurring, determining a threshold for each group, receiving forecasted conditions, and determining the predicted impact of the forecasted conditions by comparing the forecasted conditions with the thresholds.

Abstract: A system for managing UAVs includes a first relay that performs mission management on a first UAV; a first conduit, corresponding to a first geographical area, that manages communication between the first UAV and first relay when the first UAV is located in the first geographical area; a first web server that enables user interfacing with the first UAV; and a pre-flight insurance tap that generates an insurance quote for a mission of the first UAV when an instance of the pre-flight insurance tap is called by the first relay.

Abstract: Provided are methods, devices, and non-transitory computer-readable storage mediums to generate an itinerary with a weather forecast. The itinerary may comprise a departure location, a destination location and a first time. Based on the itinerary, an intermediary location and an intermediary time associated with the intermediary location may be identified. A weather forecast associated with the identified intermediary location and the intermediary time may be predicted. A weather risk associated with the identified route may be assessed and based on the assessed risk, an alternative route may be additionally identified.

Abstract: A network apparatus which may be connected to or included in a surveillance camera or a recorder is provided. The network apparatus includes: a communication interface configured to receive external information including at least one of weather information, traffic information, and event information received from at least one external server over a network; and a controller configured to adjust at least one of operating functions of at least one of a camera and a recorder connected to the camera, according to the external information.

Abstract: Hyperspectral imaging systems and methods for hyperspectral imaging of scenes in apparent motion are described. Each acquired image includes a spatial map of the scene which facilitates pointing, focusing, and data analysis. The spectral measurement parameters can be configured dynamically in order to optimize performance such as spectral resolution, storage capacity, and transmission bandwidth, without physical or optical reconfiguration of the imaging system, and with no need for moveable mechanical parts. The system achieves high spectral and spatial resolution, is simple, compact, and lightweight, thereby providing an efficient hyperspectral imaging system for aircraft or spaceborne imaging systems.

Abstract: Methods and systems are disclosed for event management, allowing authorized users or authorities to distribute and display communications on digital displays. In one aspect, an event management communications system receives event data sent from a detection system comprised of a network of sensors. The event management communications system processes the event data to determine an event perimeter, and then selects one or more digital displays based upon the event data or the determined event perimeter. Next, the event management communications system authors one or more contextual communications corresponding to the one or more digital displays and sends said one or more authored communications to said one or more digital displays, thereby allowing the one or more digital displays to display the corresponding one or more communications to a relevant, identified audience.

Abstract: Solar irradiance, the energy from the Sun's electromagnetic radiation, has a wide range of applications from meteorology to agronomy to solar power. Solar irradiance is primarily determined by a location's spatial relationship with the Sun and the atmospheric conditions that impact the transmission of the radiation. The spatial relationship between the Sun and a location on Earth is determined by established astronomical formulas. The impact of atmospheric conditions may be estimated via proxy using pixels from satellite imagery. While satellite-based irradiance estimation has proven effective, availability of the input data can be limited and the resolution is often incapable of capturing local weather phenomena. Brief qualitative descriptions of general atmospheric conditions are widely available from internet weather services at higher granularity than satellite imagery.

Abstract: Methods and systems for providing a “Human over-the-loop” or HOTL processing of weather forecasts. A forecaster may create and manage polygonal Filters, Qualifiers and Blurbs (FBQ's) that can be used to adjust the forecast or describe the forecast for the spatial area circumscribed by the FBQ polygon. The filters are placed manually and act to constraint or modify the digital forecast data over some time range of hours or even days into the future. The filters act to limit the machine-sourced forecasts into acceptable or smart thresholds from unacceptable or un-wise thresholds. HOTL is a Forecast on Demand system that delivers voluminous and rapidly changing forecast guidance that flows unimpeded to outward facing publication platforms and is instantly available to end users and consumers.

Abstract: A building alarm management system for a building includes a processing circuit configured to receive one or more alarms from building equipment of the building and receive location information for the building equipment located in the building and one or more mobile devices associated with one or more users located in the building. The processing circuit is further configured to retrieve role information including roles associated with the one or more users and send the one or more alarms to the one or more mobile devices based on the roles associated with the one or more users and the locations of the one or more mobile devices and the building equipment.

Abstract: A system and method synthesizing images of a locale to generate a composite image that provide a panoramic view of the locale. A video camera moves along a street recording images of objects along the street. A GPS receiver and inertial navigation system provide the position of the camera as the images are being recorded. The images are indexed with the position data provided by the GPS receiver and inertial navigation system. The composite image is created on a column-by-column basis by determining which of the acquired images contains the desired pixel column, extracting the pixels associated with the column, and stacking the columns side by side. The composite images are stored in an image database and associated with a street name and number range of the street being depicted in the image. The image database covers a substantial amount of a geographic area allowing a user to visually navigate the area from a user terminal.

Abstract: Techniques of altitude determination by user equipment (UE) in a mobile communications network are discussed. A request for calibration data is transmitted to a node of the network. Barometric calibration data is received at the UE. A barometric pressure sensor in the UE measures a barometric pressure value based on the barometric calibration data. Measuring the barometric pressure value using the barometric pressure sensor in an embodiment comprises adjusting a measured barometric pressure value that is measured using the barometric pressure sensor. The barometric pressure value is transmitted to the node. The UE receives a second part of the barometric calibration data, and in dependence of the second part of the barometric calibration data and/or in dependence of the measured barometric pressure value, determines an altitude of the user equipment.

Abstract: Systems, devices, media, and methods are presented for selectively partitioning and precaching data elements. The systems and methods identify a device context for a client device and identify a cell based on the device context. The cell is associated with one or more partition characteristics and a plurality of data elements stored in a precache of data elements. The systems and methods select a set of data elements corresponding to the cell and at least a portion of the one or more partition characteristics. The systems and methods then retrieve the selected set of data elements from the precache of data elements and cause presentation of at least one data element of the selected set of data elements at a display device coupled to the client device.

Abstract: An embodiment of the invention provides a method where an air quality forecast having an air quality turning point is received. A processor identifies an updated air quality turning point based on weather observation information. An air quality forecast at the updated air quality turning point is generated with the weather observation information and human input, which can include human knowledge from a weather expert or an air quality expert. An air quality forecast for a first time period directly prior to the updated air quality turning point is generated with the air quality forecast at the updated air quality turning point and the human input. An air quality forecast for a second time period directly after the updated air quality turning point is generated with the air quality forecast for the first time period, the air quality forecast at the updated air quality turning point, and the human input.

Abstract: A method of detecting anomalies in a time series is disclosed. A training time series corresponding to a process is extracted from an initial time series corresponding to the process, the training time series including a subset of the initial time series. Outlier data points in the training time series are modified based on predetermined acceptability criteria. A plurality of prediction methods are trained using the training time series. An actual data point corresponding to the initial time series is received. The plurality of prediction methods are used to determine a set of predicted data points corresponding to the actual data point. It is determined whether the actual data point is anomalous based on a calculation of whether each of the set of predicted data points is statistically different from the actual data point.