Abstract: A method and a device for predicting insulator pollution grade includes acquiring prediction data affecting the insulator pollution grade; acquiring current pollution status of the insulator; predicting the insulator pollution grade based on the prediction data, the current pollution status and an insulator pollution grade calculating model, wherein the insulator pollution grade calculating model at least comprises an initial pollution status variable of the insulator, and a pollutant accumulation prediction and a pollutant reduction prediction based on the initial pollution status variable, at least one of the accumulation prediction and the reduction prediction being associated with the prediction data, and the initial pollution status variable being associated with the current pollution status.

Abstract: A system, method and computer program product for tracking and identifying a polluted air mass's transmission trajectory in real 3-D space. In one aspect, a polluted air mass's transmission path identification is based on a monitoring of PM2.5 concentration in cubic volumes of an air mass. The method computes a transmission path of polluted air that considers wind-pressure conversion, the displacement estimation with mass concentration, and planetary boundary layer (PBLP height constraint) for 3-D cubic grids. The resultant determination of a polluted air mass's transmission trajectory in real 3-D space generates more practical and reliable results for intensive knowledge of the transport pathways and potential pollution sources in real 3-D space.

Abstract: A method for managing a database, each item of data in the database being associated with a timestamp and a data point, the timestamps being used as row keys for rows of a table in the database, the method comprising: obtaining a behavior characteristic of a user based on a previous data access to the database by the user; partitioning columns in the table into column families based on the obtained behavior characteristic and system configuration of the database; and causing data in the database to be stored in respective column families at least in part based on the associated data point.

Abstract: The present invention proposes a lightning forecast method, comprising: identifying a Targeted Weather of SDA carrier (TWLC) based on radar reflectivity data; forecasting a future TWLC state based on the identified TWLC; building or updating an SDA model based on SDA observation data and detected TWLC state-related data; and calculating the probability of producing SDA in the forecasted future TWLC according to the SDA model.

Abstract: The present invention proposes a lightning forecast method, comprising: identifying a Targeted Weather of SDA carrier (TWLC) based on radar reflectivity data; forecasting a future TWLC state based on the identified TWLC; building or updating an SDA model based on SDA observation data and detected TWLC state-related data; and calculating the probability of producing SDA in the forecasted future TWLC according to the SDA model.

Abstract: This disclosure provides a computer-implemented method for data storage in a non-relational database. The method comprises receiving a data item to be inserted into a table in the non-relational database. The method further comprises determining a dynamic data section and a static data section of the received data item. The method further comprises in response to the static data section not existing in the static data storage area, storing the static data section in the static data storage area. The method further comprises storing the dynamic data section in the dynamic data storage area.

Abstract: A method and apparatus for forecasting output power of wind turbine in a wind farm. The present invention provides a method for forecasting output power of a wind turbine in a wind farm, including: generating a corrected data set based on environmental data collected from at least one sensor in the wind farm; correcting a weather forecasting model by using the corrected data set; obtaining a forecast value of wind information at the wind turbine based on the corrected weather forecasting model; and forecasting the output power of the wind turbine based on the forecast value and a power forecasting model.

Abstract: A method and system for processing file storage is provided. The method includes receiving a file storage request and determining a file size of a file which is requested to be stored. In response to determining that the file is a small file, a request is sent to an HBase to store the file into the HBase. In response to determining that the file is a large file, a request is sent to a HDFS to store the file into the HDFS. Information associated with the file is stored in a record.

Abstract: A method for generating electric substation load transfer control parameters includes adjusting elements in a fundamental scale matrix according to a condition change of a power grid, wherein the fundamental scale matrix is constructed based on the topology structure of the power grid, and the elements in the fundamental scale matrix represent switch information and risk values of paths between nodes of the power grid, wherein the switch information represents number of switching times required for connecting two nodes of the power grid; and performing operations on the adjusted fundamental scale matrix to generate switch information and risk values of paths for electric substation load transfer control, as electric substation load transfer control parameters.

Abstract: A method for tracking and identifying a polluted air mass's transmission trajectory in real 3-D space. In one aspect, a polluted air mass's transmission path identification is based on a monitoring of PM2.5 concentration in cubic volumes of an air mass. The method computes a transmission path of polluted air that considers wind-pressure conversion, the displacement estimation with mass concentration, and planetary boundary layer (PBLP height constraint) for 3-D cubic grids. The resultant determination of a polluted air mass's transmission trajectory in real 3-D space generates more practical and reliable results for intensive knowledge of the transport pathways and potential pollution sources in real 3-D space.

Abstract: A system, method and computer program product for tracking and identifying a polluted air mass's transmission trajectory in real 3-D space. In one aspect, a polluted air mass's transmission path identification is based on a monitoring of PM2.5 concentration in cubic volumes of an air mass. The method computes a transmission path of polluted air that considers wind-pressure conversion, the displacement estimation with mass concentration, and planetary boundary layer (PBLP height constraint) for 3-D cubic grids. The resultant determination of a polluted air mass's transmission trajectory in real 3-D space generates more practical and reliable results for intensive knowledge of the transport pathways and potential pollution sources in real 3-D space.

Abstract: A system, a computer readable storage medium, and a method for data quality control using a correlated sensor group includes selecting a sensor group, by at least one processor, according to a uniformity and a correlation with air pollution concentration data from a reference station, selecting a time series based on the correlation, generating a particle concentration model between the sensor group and the reference station, calculating a deviation in the particle concentration data from the particle concentration model, and recognizing outliers from the deviation as unacceptable data.

Abstract: A system, a computer readable storage medium, and a method for automatically siting for air quality monitoring stations includes collecting from air quality monitoring stations air pollution concentration data, collecting from meteorological stations meteorological data, and interpolating, by the at least one or more processors, the air pollution concentration data to provide interpolated air pollution concentration data. The method and system can further cluster the interpolated air pollution concentration data and the meteorological data to provide clustered data and select a candidate site for an air monitoring station using the clustered data. The method and system can further evaluate a relationship of the air pollution concentration data with the meteorological data by weighting the air pollution data with the meteorological data.

Abstract: The present invention relates to a method and apparatus for controlling a wind turbine. The method includes: dividing a plurality of wind turbines into at least one group based on a similarity in status information of the plurality of wind turbines; in response to having detected a fault in a first wind turbine of the plurality of wind turbines, searching a group to which the first wind turbine belongs for a second wind turbine matching status information of the first wind turbine; and controlling the first wind turbine based on parameters from the second wind turbine.

Abstract: A computer-implemented method includes receiving historical pollution distribution data indicating a pollution distribution in a target area, determining a first searching path for a mobile pollution detecting device that prioritizes subareas in the target area that have not been recently searched relative to other subareas, determining a second searching path for the mobile pollution detecting device that prioritizes subareas in the target area that have a high measure of pollution relative to other subareas, determining whether an amount of the historical pollution distribution data exceeds a threshold amount, and transmitting a signal causing the mobile pollution detecting device to search the target area for pollution based on the first searching path when the amount of the historical pollution distribution data is less than the threshold amount or the second searching path when the amount of the historical pollution distribution data is greater than or equal to the threshold amount.

Abstract: A computer-implemented method includes comparing, by a computer processor, meteorological conditions of a first duration of time to meteorological conditions of at least one second duration of time. The beginning of the second duration of time is determined based at least in part on a first event relating to air quality conditions. The end of the second duration of time is determined based at least in part on a second event relating to air quality conditions. The method also includes outputting a forecast of air quality conditions for the first duration of time based at least in part on the comparing.

Abstract: At least one target area is identified based on a pollution concentration field of a geographic area. At least one candidate site is selected from a plurality of sites within the geographic area based on a relationship between the plurality of sites and pollution sources, where the plurality of sites are potential positions for deploying sensors for monitoring pollution. A target site is determined from the at least one candidate site based on the at least one target area.

Abstract: A particle concentration is determined by acquiring a particle concentration measurement at a reference station from each of a plurality of sensors to be evaluated. A reference particulate concentration measurement is acquired from a reference station sensor at the reference station. A base set of sensors is selected from the plurality of sensors based upon a correlation calculation. A reference sensor is selected from the base set of sensors. A model is constructed that specifies a relationship between the reference sensor and the reference station sensor. A generalized sensor type is formulated using one or more characteristics of the reference sensor. The generalized sensor type is used to construct an inheritance network model. A particle concentration for the generalized sensor type is determined based upon the inheritance network model.

Abstract: The disclosure involves multi-source data assimilation. According to an embodiment, first data associated with an indication of environmental quality in a first region is obtained, and second data associated with an indication of environmental quality in a second region is obtained. The first data is of a higher quality than the second data according to a predetermined criterion. The second data is calibrated according to a relationship between the first and second data in an overlap of the first and second regions. Third data associated with an indication of environmental quality in a third region is determined based on the first data and the calibrated second data, wherein the third region comprises at least the first and second regions.

Abstract: A method for establishing and using a pollutant emission scavenging forecasting (PESF) model to calculate a purgeable pollutant emission to dynamically control an emitted pollutant at any target concentration. The dynamic control considers the initial pollutant concentration and pollutant scavenging ability of atmosphere. The method further takes into account the constraint conditions specified by a user, and employs a dynamic emission correction system to quickly calculate an optimal pollutant emission scheme. If the emission is lower than minimum acceptable value for a current time instance (a moment), the method corrects the emission intensity before (prior to) this moment by changing the initial concentration at this time. This initial concentration is the final pollutant concentration of a prior moment. Since the method makes full use of the atmospheric pollutants scavenging ability, the dynamic emission control scheme can provide the most effective and lowest economic losses solution.