The workload in creating a document for reporting a construction status is reduced. A task support apparatus includes a first acquiring unit configured to acquire a plurality of captured images associated with pieces of attribute information from a terminal device configured to associate the captured images with the pieces of attribute information; a second acquiring unit configured to acquire an insertion rule and/or a description rule of a document for reporting a construction status; and a generating unit configured to generate image information based on the pieces of attribute information, associated with the plurality of captured images acquired by the first acquiring unit, and the insertion rule and/or the description rule acquired by the second acquiring unit. The pieces of attribute information each include a construction detail and a photographing timing.

An optimal dispatching method and system for a wind power generation and energy storage combined system are provided. Uncertainty of a wind turbine output is characterized based on spatio-temporal coupling of the wind turbine output and an interval uncertainty set. Compared with a traditional symmetric interval uncertainty set, the uncertainty set that considers spatio-temporal effects effectively excludes some extreme scenarios with a very small probability of occurrence and reduces conservativeness of a model. A two-stage robust optimal dispatching model for the wind power generation and energy storage combined system is constructed, and a linearization technology and a nested column-and-constraint generation (C&CG) strategy are used to efficiently solve the model.

Systems and methods include determination, for each of a plurality of discrete features, of statistics based on a number of occurrences of each discrete value of the discrete feature in the data, determination of first summary statistics based on the determined statistics, determine of a dissimilarity for each discrete feature based on the first summary statistics and on the statistics determined for the discrete feature, determination of candidate discrete features based on the determined dissimilarities, determination, for each of the candidate discrete features, of second summary statistics based on values of a continuous feature associated with each discrete value of the candidate discrete feature, determination of a deviation score for each of the candidate discrete features based on the second summary statistics, and transmission of the candidate discrete features for display in association with the continuous feature based on the determined deviation scores.

Systems and methods of processing items. Items in a distribution network or process may be scanned at every handling point in the distribution network, and each scan is recorded in a central repository. The scan information can be used to generate real-time access to data, analytical tools, predictive tools, and tracking reports.

Systems and methods of processing items. Items in a distribution network or process may be scanned at every handling point in the distribution network, and each scan is recorded in a central repository. The scan information can be used to generate real-time access to data, analytical tools, predictive tools, and tracking reports.

A method of energy distribution from a plurality of energy sources to a plurality of loads wherein a set of selection options for a load are determined. Values are established for the selection options for each loads. The loads are then ordered into a load order according to a load ordering parameter. The energy sources are ordered in a plurality of sequences, where each sequence corresponds to a possible set of values for the selection options and wherein at least one energy source appears in more than one of the plurality of sequences. The loads are then matched with the energy sources according to the load order, with the sources in the sequence corresponding to the set of values for the selection options established for that load. A computing system designed to perform this method, and an electrical grid incorporating such a computing system are also described.

The invention relates to a campaign management system comprising a computer-data processor memory, a graphical user interface (GUI), the management system (CAMS) processing a plurality of participant records (PREC) according to a user-configured process structure (PS) of a plurality of configured logic templates (CLT) configured on the basis of a plurality of logic templates (LT); the graphical user interface (GUI) is arranged to display graphical elements (GE), each graphical element (GE) being associated with a logic template (LT); wherein said logic templates (LT) comprise user editable parameters (UEP) being editable using the graphical user interface (GUI) and an executable program fragment (EPF) being executable on the basis of said user editable parameters (UEP) and one or more of said participant records (PREC); wherein the graphical elements (GE) are couplable using said graphical user interface (GUI) by a user, the coupling defining the process structure (PS) of said executable program fragments (EPF) of said logic templates (LT) in relation to said participant records (PREC); wherein said process structure (PS) and said participant records (PREC) for processing according to said process structure (PS) represent a campaign (CAM); wherein the participant records (PREC) comprise participant attributes (PA) being processable by said executable program fragments (EPF) of said configured logic templates (CLT) according to said process structure (PS) and wherein the participant attributes (PA) comprise global participant attributes (GPA) and local participant attributes (LPA), wherein said global participant attributes (GPA) are defined across a plurality of campaigns (CAM) defined by different respective process structures (PS), and wherein said local participant attributes (LPA) are defined for a subset of said plurality of campaigns CAM).

The invention relates to a campaign management system comprising a computer-data processor memory, a graphical user interface (GUI), the management system (CAMS) processing a plurality of participant records (PREC) according to a user-configured process structure (PS) of a plurality of configured logic templates (CLT) configured on the basis of a plurality of logic templates (LT); the graphical user interface (GUI) is arranged to display graphical elements (GE), each graphical element (GE) being associated with a logic template (LT); wherein said logic templates (LT) comprise user editable parameters (UEP) being editable using the graphical user interface (GUI) and an executable program fragment (EPF) being executable on the basis of said user editable parameters (UEP) and one or more of said participant records (PREC); wherein the graphical elements (GE) are couplable using said graphical user interface (GUI) by a user, the coupling defining the process structure (PS) of said executable program fragments (EPF) of said logic templates (LT) in relation to said participant records (PREC); wherein said process structure (PS) and said participant records (PREC) for processing according to said process structure (PS) represent a campaign (CAM); wherein the participant records (PREC) comprise participant attributes (PA) being processable by said executable program fragments (EPF) of said configured logic templates (CLT) according to said process structure (PS) and wherein the participant attributes (PA) comprise global participant attributes (GPA) and local participant attributes (LPA), wherein said global participant attributes (GPA) are defined across a plurality of campaigns (CAM) defined by different respective process structures (PS), and wherein said local participant attributes (LPA) are defined for a subset of said plurality of campaigns CAM).

Described are a method, system, and computer program product for operating dynamic shadow testing environments for machine-learning models. The method includes generating a shadow testing environment operating at least two transaction services. The method also includes receiving a plurality of transaction authorization requests. The method further includes determining a first percentage associated with a first testing policy of the first transaction service and a second percentage associated with a second testing policy of the second transaction service. The method further includes replicating in the shadow testing environment, in real-time with processing the payment transactions, a first portion of the plurality of transaction authorization requests and a second portion of the plurality of transaction authorization requests. The method further includes testing the first transaction service using the first set of replicated transaction data and the second transaction service using the second set of replicated transaction data.

A communications server apparatus for simulating supply and demand conditions related to a transport service and deriving associated spatio-temporal prediction data, the communications server apparatus comprising a processor and a memory, and being configured, under the control of the processor, to execute instructions stored in the memory to: obtain supply and demand data, said supply data comprising service provider location and availability data and said demand data comprising user bookings data; generate, using said supply and demand data, aggregated supply and demand data comprising a plurality of data records associated with a plurality of respective predetermined time periods, each record being representative of an available supply pool of one or more service provider types in one of a plurality of regions, and demand therefor, during the respective predetermined time period; generate, using said supply and demand data, probability data for each of said plurality of regions and supply pools in relation to respective predetermined time periods, said probability data comprising probability values representative of a likelihood of demand associated with respective time slot/supply pool/region combinations; perform a simulation of supply and demand conditions in said plurality of regions by mapping said aggregated supply and demand data to said probability data in a trained forecasting model and generating prediction data for each of said plurality of regions and supply pools, said prediction data being representative of a probability that a service provider will receive a user booking in a specified region within a predetermined period of time; and output said prediction data for display on a service provider communications device.