Abstract: A system for crop lifecycle modeling, comprising a computer processor and at least one computer-readable storage medium operably coupled to the computer processor and having program instructions stored therein, the computer processor being operable to execute the program instructions to generate a profile of a crop using a plurality of data processing modules including, a data acquisition module (106) configured to receive, periodical input data from at least one source, wherein the data is related to at least one of factors contributing to production of the crop, a data storage module (108) adapted to process and store the received input data, an analytics core module (208) configured to generate an output data using the input data from the data storage module (108) for processing and computing the input data to create a predictive crop lifecycle model, wherein the analytics core module (208) is adapted to work with a crop lifecycle rules engine (332) and provide input to improve and enhance the rules engine

Abstract: The present disclosure relates to method and device for determining performance of an intermittently used refrigerator. Performance measuring device receives time stamped temperature data from temperature sensor configured in the intermittently used refrigerator. The received time stamped temperature data is used to determine values for each of one or more predefined parameters associated with the intermittently used refrigerator. The performance measuring device determines temperature variation of the intermittently used refrigerator at predefined time intervals. Based on the determined temperature variation, additional service windows in a site comprising the intermittently used refrigerator are identified i.e. the intensity of sales in the site are identified. The determined values of each of the one or more predefined parameters and the determined temperature variation, helps in determining the performance of intermittently used refrigerator.

Abstract: Disclosed herein is method and system for determining energy savings target for distributed sites of an entity. Energy profiles of the distributed sites in a service window are identified. Energy coefficients related to the energy profiles are determined by performing optimization of values of operational parameters of the distributed sites. Energy consumption within the service window is predicted using modular transformation of the energy coefficients. Finally, the energy savings target is determined based on modular transformation of the energy coefficients and current energy savings of the distributed sites. The present disclosure discloses a unique framework for defining a generic set of operational energy savings strategies that are applicable to each type of asset and service window of the distributed sites of an entity.

Abstract: The present disclosure relates to a method and system for indicating energy savings for a distributed site. The energy savings is indicated by an energy management system, which receives energy consumption data of the distributed site for a first observation period. Further one or more service windows are defined for the distributed site and an energy saving strategy is applied to at least one service window. Further, the energy consumption data for the second observation period is received and a compared of one or more service windows of the first observation period with the corresponding service windows of the second observation period is done. The energy management system further determines adjustment factors in the energy profiles based on parameters affecting the energy profiles which were not considered during the first observation period and hence indicate the energy savings for the distributed site based on the first saving and adjustment factor.

Abstract: Disclosed herein is method and system for determining energy savings target for distributed sites of an entity. Energy profiles of the distributed sites in a service window are identified. Energy coefficients related to the energy profiles are determined by performing optimization of values of operational parameters of the distributed sites. Energy consumption within the service window is predicted using modular transformation of the energy coefficients. Finally, the energy savings target is determined based on modular transformation of the energy coefficients and current energy savings of the distributed sites. The present disclosure discloses a unique framework for defining a generic set of operational energy savings strategies that are applicable to each type of asset and service window of the distributed sites of an entity.

Abstract: The present disclosure relates to method and device for determining performance of an intermittently used refrigerator. Performance measuring device receives time stamped temperature data from temperature sensor configured in the intermittently used refrigerator. The received time stamped temperature data is used to determine values for each of one or more predefined parameters associated with the intermittently used refrigerator. The performance measuring device determines temperature variation of the intermittently used refrigerator at predefined time intervals. Based on the determined temperature variation, additional service windows in a site comprising the intermittently used refrigerator are identified i.e. the intensity of sales in the site are identified. The determined values of each of the one or more predefined parameters and the determined temperature variation, helps in determining the performance of intermittently used refrigerator.

Abstract: The present disclosure relates to a method and system for indicating energy savings for a distributed site. The energy savings is indicated by an energy management system, which receives energy consumption data of the distributed site for a first observation period. Further one or more service windows are defined for the distributed site and an energy saving strategy is applied to at least one service window. Further, the energy consumption data for the second observation period is received and a compared of one or more service windows of the first observation period with the corresponding service windows of the second observation period is done. The energy management system further determines adjustment factors in the energy profiles based on parameters affecting the energy profiles which were not considered during the first observation period and hence indicate the energy savings for the distributed site based on the first saving and adjustment factor.

Abstract: The present disclosure relates to a method for managing performance of at least one instrumentation device deployed across one or more sites. The method comprises receiving instrument data from the at least one instrumentation device. The instrument data comprises data pertaining to performance of the at least one instrumentation device. The method further comprises validating the instrument data based on at least one of predefined range parameters, predefined error parameters, predefined policy parameters, and historical analysis parameters. The method further comprises determining at least one of calibration issues, maintenance issues, reliability of at least one of the instrumentation device, and quality of the instrument data based on validation of the instrument data and generating performance report based on the validation and the determination for managing the performance of the one or more instrumentation devices.

Abstract: A method, non-transitory computer readable medium, and energy optimization device that optimizes energy consumption includes generating an energy model for each of a plurality of sites in an enterprise network. A plurality of service windows is determined for each of the sites. An energy consumption forecast is generated for each of the sites based on the generated energy models and the determined service windows. Current energy consumption information is obtained for one of the sites. Optimization recommendation(s) are determined for the one site based on a deviation of the obtained current energy consumption information for the one site from the generated energy consumption forecast for the one site in an active one of the determined service windows for the one site, and the optimization recommendation(s) are output.

Abstract: A method, non-transitory computer readable medium, and energy optimization device that optimizes energy consumption includes generating an energy model for each of a plurality of sites in an enterprise network. A plurality of service windows is determined for each of the sites. An energy consumption forecast is generated for each of the sites based on the generated energy models and the determined service windows. Current energy consumption information is obtained for one of the sites. Optimization recommendation(s) are determined for the one site based on a deviation of the obtained current energy consumption information for the one site from the generated energy consumption forecast for the one site in an active one of the determined service windows for the one site, and the optimization recommendation(s) are output.