Abstract: A method and system for predicting regional gas consumption, and a device and a cloud platform. The future gas consumption of all gas users in an entire region is predicted according to a user-specified region and date; all networked gas users in the region are extracted during a prediction process by using spatial address matching technology; and then, by means of classifying the users and sampling the users in combination with statistics, representative sample users are extracted from all the users for respective prediction, thereby reducing the computation amount and computing resource consumption, which are required for model prediction. The method and system is mounted on a cloud platform, and the cloud platform receives, by means of Internet of Things technology, gas flow data that is uploaded by gas flow metering devices of all networked gas users, and also provides an interface for interacting with the users for the outside.

Abstract: Disclosed is a system and method for automated outage and workflow planning system in a distributed electrical power grid with planned de-energization of electrical equipment as opposed to responding to an unplanned power outage. An automated system provides core conflict resolution and power outage planning. The present invention automatically notifies requestors of upcoming work orders. In addition, the present invention reduces scheduling inefficiencies by requiring requestors to confirm, decline, or edit on the fly their pending work order(s). The system also determines if all the orders are not completed and places the order back on the calendar for another day.

Abstract: A computer implemented method for handling respective state machines of a plurality of production assets. Each state machine implements a plurality of operating states, in a production process. The computer implemented method comprising determining a respective production process for the plurality of production assets by monitoring the plurality of production assets, and associating a respective state machine to the plurality of production assets based on the determined respective production process. The computer implemented method further comprises detecting that at least two of the plurality of production assets shares a same production process.

Abstract: Systems, computer program products and/or computer-implemented methods described herein relate to balancing agriculture risk with green energy practices to reduce a carbon footprint. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components. The computer executable components comprise an analysis component that determines crop metrics and terrace metrics for a terrace slope farming system by employing imaging data, a prediction component that generates, based on the crop metrics and terrace metrics, a crop-terrace pairing for a terrace of the terrace slope farming system, wherein the crop-terrace pairing is defined by one or more of the crop metrics that match to one or more of the terrace metrics, and an evaluation component that identifies the crop-terrace pairing as resulting in a first carbon footprint that is lower than a second carbon footprint that is identified for the same terrace.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to determine unified entity weights for audience measurement. Example apparatus disclosed herein are to obtain entity data associated with an entity over a period of time including a plurality of time segments, the entity data including an entity identifier, adaptable weights of the entity associated respectively with the time segments in the period of time, and panel statuses of the entity that correspond to respective ones of the time segments in the period of time, and average the adaptable weights based in the panel statuses to determine a unified weight of the entity for the period of time.

Abstract: Systems and methods for allocating energy including distributing and receiving energy using a mobile energy storage (MEES) system at locations of a power supplier in an energy market system by a user. Determine allocating amounts of energy for the MEES system and for each time interval for all time intervals for an upcoming operating time period based on a set of uncertain parameters using an optimization model. Base on calculating an objective function using uncertain parameters. Update the objective function using constraints. While optimizing the objective function for a value hierarchy associated with energy and reserve bidding scenarios for the user and delivery scheduling for the MEES system based upon the stored user risk preferences. Control scheduling of the MEES system between the locations of the power supplier, according to allocating of the amount of the electrical energy for the MEES system at the locations of the power supplier.

Abstract: Methods, apparatus, and processor-readable storage media for resource-related forecasting using machine learning techniques are provided herein. An example computer-implemented method includes obtaining multiple items of data related to one or more resources associated with an enterprise; correlating at least a portion of the multiple items of data with at least one target variable using one or more correlation techniques; generating one or more forecasts pertaining to the at least one target variable and at least a portion of the one or more resources by processing at least a portion of the correlated data using one or more machine learning techniques; and performing one or more automated actions based at least in part on the one or more forecasts.

Abstract: Store a subscription dataset for each tenant of a multi-tenant system, each of the subscription datasets having a common data format native to the system, the subscription datasets including billing data and not behavioral data. Determine primary features from a particular subscription dataset. Derive secondary features from the primary features. Generate a churn prediction model based on the primary features and the secondary features. Obtain a second subscription dataset, the second subscription dataset comprising billing data that is more recent than the particular subscription dataset. Identify, using the particular churn prediction model and the second subscription dataset, one or more subscribers as a churn-risk. Report the one or more subscribers identified as a churn-risk.

Abstract: A system and method are disclosed including a prepack planner that determines an initial prepack configuration of a package including two or more items, which include one or more attributes and two or more attribute values. The prepack planner also evaluates the initial prepack configuration by solving a mixed integer problem model and selects the initial prepack configuration to be the parent prepack configuration. The prepack planner further generates one or more child prepack configurations by attributing the number of the two or more attribute values to the one or more child prepack configurations and mutates the one or more child prepack configurations by changing the two or more attribute values with two of the two or more attributes and compares the initial prepack configuration with a stop criteria to determine whether a stop criteria has been reached.

Abstract: Receive a first order, the first order being associated with a subscription, and the first order being associated with one or more first order actions. Generate, based on the first order and the one or more first order actions, one or more first order metrics. Generate a multi-tiered subscription data object, a first tier of the multi-tiered subscription data object including the first order, a second tier of the multi-tiered subscription data object including the one or more first order actions, and a third tier of the multi-tiered subscription data object including the one or more first order metrics. Receive a first request for a first report. Generate, based on the one or more first order metrics of the multi-tiered subscription data object, one or more first multi-tiered subscription object reports. Present the one or more first multi-tiered subscription object reports.

Abstract: Systems and methods are provided for managing hybrid seeds for planting. One example computer-implemented method includes receiving a first dataset of hybrid seeds for planting on a target field, where the first dataset includes probability of success values and historical agricultural data for the hybrid seeds, and selecting a subset of hybrid seeds of the first dataset based on the probability of success values. The method also includes generating representative yield values for the subset of hybrid seeds based on the historical agricultural data, generating risk values for the subset of hybrid seeds based on the historical agricultural data, and generating a second dataset of hybrid seeds for planting based on the risk values, the representative yield values, and properties for the target field. The method further includes causing displaying the representative yield values and the risk values related to the second dataset of hybrid seeds for planting.

Abstract: Embodiments as disclosed provide data processing systems and methods for controlling an automated survey system. One embodiment comprises: a processor; a data store storing a plurality of transactions thereon, each transaction comprising transaction metadata and a voice session recording of an inbound call, the transaction metadata for each transaction comprising an identifier for that transaction; a non-transitory computer readable medium having instructions executable on the processor for: generating, by the processor, a worklist for the survey campaign to control conducting of surveys by an automated survey system that is configured to execute the worklist, the worklist comprising a work item for each of the set of transactions and each work item comprising transaction identification data for a transaction from the set of transactions and contact information for the survey target for the transaction corresponding to the transaction identification data in the work item.

Abstract: A controller for a system of equipment that operate to produce or consume one or more resources includes one or more processing circuits configured to generate a resource balance constraint using a balance between a first amount of each resource and a second amount of each resource. The first amount of each resource includes at least an amount of the resource produced by the equipment. The second amount of each resource includes at least an amount of the resource consumed by the equipment. The one or more processing circuits are configured to perform a control process using the resource balance constraint to determine amounts of each resource to be produced or consumed by the equipment and operate the equipment to produce or consume the amounts of each resource determined by the control process.

Abstract: A method and apparatus for oil and gas operations according to which a bottom hole trajectory of a drilling well is surveyed using a survey tool located uphole from a drill bit positioned at a bottom hole location. One or more offset wells are identified having a trajectory, or respective trajectories, closing on the bottom hole trajectory of the drilling well. An anti-collision steering strategy for the drilling well to avoid the one or more offset wells is determined.

Abstract: A construction management system includes a geological data acquisition unit configured to acquire geological data of a work target, and a three-dimensional data acquisition unit configured to acquire three-dimensional data of the work target, where the three-dimensional data acquisition unit is configured to acquire, based on the geological data, three-dimensional data including a boundary between geologies of the work target.

Abstract: Systems and methods are disclosed for optimal utilization of machines for performing tasks across a predetermined area. A request may be received to initiate a job on a predetermined area, the job comprising a plurality of tasks associated with a plurality of machines. In response to the request, a first machine of the plurality of machines may be deployed to the predetermined area to execute a first task of the plurality of tasks autonomously. A deployment event may be determined based on characteristics of the first machine and a second machine, and based on characteristics of the predetermined area. The second machine to the predetermined area, upon detection of the deployment event, to execute a second task of the plurality of tasks autonomously.

Abstract: The present application includes a method and system for real-time predictive scheduling. The system receives information from at least one workload input and at least one personnel input, calculating an initial schedule based on the information and on analytics rules in a scheduling analytics engine. The system then allocates incoming workloads to customer service representatives according to the initial schedule, while monitoring adherence to the initial schedule by calculating deviation from schedule adherence. If the deviation from schedule adherence exceeds an acceptable deviation from schedule adherence within the analytics rules, the system calculates an updated schedule.

Abstract: An apparatus, method, and computer program product are provided for the improved and automatic prediction and modeling of one or more channels and relevant conditions through which resources may be directed to users in an environment where resource demand, utility, and perceived value vary over time. Some example implementations employ predictive, machine-learning modeling to facilitate the use of multiple disparate and unrelated data sets to extrapolate and otherwise predict the future needs for certain resources and identify the channels and conditions that may be employed to meet such future needs. An apparatus, method, system, and computer program product are provided for improved generating, adjusting, and/or facilitating approval of a resource offer set. Some example implementations employ one or more predictive models.

Abstract: In an illustrative embodiment, an automated system assesses risks associated with real estate entities. The system may include computing systems and devices for extracting data attributes for real estate entities from received source data, and the extracted data attributes may each be associated with a particular data level for a real estate entity. The system can link data attributes in adjacent data levels with unique linkage information and compute metrics for each of the real estate entities from the data attributes where each computed metric may be associated with one of the data levels. The system can assess an amount of risk associated with each of the real estate entities based on the computed metrics and present the assessed amount of risk for one or more real estate entities to a remote computing device of a user responsive to receiving a risk assessment request.

Abstract: Embodiments as disclosed provide data processing systems and methods for controlling an automated survey system. One embodiment comprises: a processor; a data store storing a plurality of transactions thereon, each transaction comprising transaction metadata and a voice session recording of an inbound call, the transaction metadata for each transaction comprising an identifier for that transaction; a non-transitory computer readable medium having instructions executable on the processor for: generating, by the processor, a worklist for the survey campaign to control conducting of surveys by an automated survey system that is configured to execute the worklist, the worklist comprising a work item for each of the set of transactions and each work item comprising transaction identification data for a transaction from the set of transactions and contact information for the survey target for the transaction corresponding to the transaction identification data in the work item.