Abstract: A method of streamlining multiple disparate workflows generated by equipment including: receiving workflow trigger sources from the equipment; generating two or more disparate workflow systems in response to the workflow trigger sources; transforming the two or more disparate workflow systems into a single unified workflow; and performing the unified workflow for the equipment.

Abstract: A system and a method for recommending feature sets for a plurality of equipment to a user. The method includes creating a library of contextual and preprocessed feature sets in a hierarchical manner for recommending features sets to a user. The method also includes compiling a plurality of hierarchical feature sets with a last feature set in a hierarchy being generated using an output of a module and incrementally adding the generated feature sets using different modules to the feature sets generated by the module. The method includes validating the generated feature sets to remove errors and using the validated feature sets as labelled data for previous feature sets and using attributes to categorize the labelled data corresponding to the contextual and pre-processed feature sets.

Abstract: Aspects of the invention are directed towards a system and a method for uniformly characterizing equipment category. One or more embodiments of the invention describe the method comprising steps of extracting a plurality of data points from data stream received from a plurality of equipment within an equipment category. The method also comprises steps of normalizing the varying frequency of the extracted data points to generate time normalized information corresponding to each of the plurality of equipment. The method comprises steps of manipulating a plurality of variances in the translated uniform data stream received from each of the plurality of equipment within the equipment category. The method comprises steps of generically mapping the normalized information to one or more aggregation methods and for mapping the output of aggregation methods to one or more reusable data processing algorithms to generate a plurality of uniform equipment characteristics corresponding to the equipment category.

Abstract: Aspects of the invention are directed towards a system and a method for generating service actionable for a plurality of equipment. Embodiments of the invention describe the method comprises steps of behaviorally classifying an equipment into normalizing classification and behavior classification. The method further comprises steps of processing the normalizing and behavior classifications to generate one or more profiles corresponding to the equipment. The one or more profiles represent time-granular behavior patterns of the equipment. The method comprises steps of generating time-granular normalized characteristics for the equipment and normalizing variances of the time-granular normalized characteristics and the time-granular behavior patterns to generate possible service actionable (SACT) recommendations that are integrated into workflows to drive action and receive prediction confirmation.

Abstract: A system and a method for recommending feature sets for a plurality of equipment to a user. The method includes creating a library of contextual and preprocessed feature sets in a hierarchical manner for recommending features sets to a user. The method also includes compiling a plurality of hierarchical feature sets with a last feature set in a hierarchy being generated using an output of a module and incrementally adding the generated feature sets using different modules to the feature sets generated by the module. The method includes validating the generated feature sets to remove errors and using the validated feature sets as labelled data for previous feature sets and using attributes to categorize the labelled data corresponding to the contextual and pre-processed feature sets.

Abstract: Aspects of the invention are directed towards a system and a method for uniformly characterizing equipment category. One or more embodiments of the invention describe the method comprising steps of extracting a plurality of data points from data stream received from a plurality of equipment within an equipment category. The method also comprises steps of normalizing the varying frequency of the extracted data points to generate time normalized information corresponding to each of the plurality of equipment. The method comprises steps of manipulating a plurality of variances in the translated uniform data stream received from each of the plurality of equipment within the equipment category. The method comprises steps of generically mapping the normalized information to one or more aggregation methods and for mapping the output of aggregation methods to one or more reusable data processing algorithms to generate a plurality of uniform equipment characteristics corresponding to the equipment category.

Abstract: Aspects of the invention are directed towards a system and a method for generating service actionable for a plurality of equipment. Embodiments of the invention describe the method comprises steps of behaviorally classifying an equipment into normalizing classification and behavior classification. The method further comprises steps of processing the normalizing and behavior classifications to generate one or more profiles corresponding to the equipment. The one or more profiles represent time-granular behavior patterns of the equipment. The method comprises steps of generating time-granular normalized characteristics for the equipment and normalizing variances of the time-granular normalized characteristics and the time-granular behavior patterns to generate possible service actionable (SACT) recommendations that are integrated into workflows to drive action and receive prediction confirmation.

Abstract: The present disclosure relates to a method and device for limiting demand of power for a power consumption system. The method comprises computing demand limiting threshold values based on one or more predefined parameters and further determining a demand limiting mode of the power consumption system to be one of enabled and disabled based on the demand limiting threshold values, the one or more predefined parameters and a ratio which is based on benefit to a user in terms of cost and impact on the user associated with the demand limiting mode. The method further comprises identifying demand limiting strategy based on the one or more predefined parameters and the impact when the demand limiting mode is enabled. Further the method comprises executing the demand limiting strategy on one or more target equipment based on a switching sequence.

Abstract: Energy modeling of target infrastructure for energy management in distributed-facilities.

Abstract: Energy modeling of target infrastructure for energy management in distributed-facilities.

Abstract: The present disclosure relates to a method and system for determining potential energy savings for a multisite enterprise by an energy evaluation system. The energy evaluation system receives energy consumption data and plurality of variables associated with plurality of sites and identifies a category for the plurality of variables based on a relationship of the plurality of variables with the energy consumption data. The energy evaluation system further determines one or more significant variables based on an impact of the plurality of variables on the energy consumption data and category of the plurality of variables. The energy evaluation system identifies a plurality of clusters for the multisite enterprise based on the one or more significant variables, evaluates the plurality of clusters of variables and optimizes the plurality of clusters of the plurality of variables based on the evaluation. Based on the evaluation and optimization a potential energy savings is determined.

Abstract: A lighting control system for optimizing operation of skylights of distributed sites to facilitate daylight harvesting comprises a processor and a memory communicatively coupled to the processor. The memory stores processor instructions, which causes the processor to identify skylight-linked lighting circuits from a plurality of lighting circuits by analyzing site configuration data, site instrumentation data, and ambient data, and determine interception points configured for each identified skylight-linked lighting circuit to switch from daylight utilization to electric consumption and to switch from electric consumption to daylight utilization. The processor is further caused to derive an optimum logic for the operation of skylight linked lighting circuits based on the interception points and current operating schedule of the skylight linked lighting circuits and optimize the operation of the skylights based on the optimum logic.

Abstract: A system and method for energy management for multi customer multi time zone distributed facilities are disclosed. In one embodiment, data associated with the energy management of the multi customer distributed facilities located in different time zones is obtained based on associated energy models by a data acquisition/integration layer. Further, the obtained data for energy management of the multi customer distributed facilities is transformed by a data management layer. Furthermore, control commands are generated using the transformed data and associated one or more pre-defined thresholds and set-points by an energy transaction layer. Also, energy of the multi customer distributed facilities is substantially simultaneously managed using the generated control commands by the energy transaction layer.

Abstract: The present disclosure relates to a method and system for determining potential energy savings for a multisite enterprise by an energy evaluation system. The energy evaluation system receives energy consumption data and plurality of variables associated with plurality of sites and identifies a category for the plurality of variables based on a relationship of the plurality of variables with the energy consumption data. The energy evaluation system further determines one or more significant variables based on an impact of the plurality of variables on the energy consumption data and category of the plurality of variables. The energy evaluation system identifies a plurality of clusters for the multisite enterprise based on the one or more significant variables, evaluates the plurality of clusters of variables and optimizes the plurality of clusters of the plurality of variables based on the evaluation. Based on the evaluation and optimization a potential energy savings is determined.

Abstract: A lighting control system for optimizing operation of skylights of distributed sites to facilitate daylight harvesting comprises a processor and a memory communicatively coupled to the processor. The memory stores processor instructions, which causes the processor to identify skylight-linked lighting circuits from a plurality of lighting circuits by analyzing site configuration data, site instrumentation data, and ambient data, and determine interception points configured for each identified skylight-linked lighting circuit to switch from daylight utilization to electric consumption and to switch from electric consumption to daylight utilization. The processor is further caused to derive an optimum logic for the operation of skylight linked lighting circuits based on the interception points and current operating schedule of the skylight linked lighting circuits and optimize the operation of the skylights based on the optimum logic.

Abstract: In one embodiment, a method of benchmarking energy assets is disclosed. The method includes filtering asset data received from a plurality of energy assets based on constraints to generate filtered asset data; creating a plurality of data profiles using the filtered asset data based on profiling variables; identifying at least one benchmarking variable and at least one normalizing variable for the plurality of energy assets for a data profile in the plurality of data profiles; iteratively determining correlation between the at least one benchmarking variable and the at least one normalizing variable; and normalizing the at least one benchmarking variable using the at least one normalizing variables in response to determining the correlation to generate benchmarks for each of the at least one benchmarking variable.

Abstract: The present disclosure relates to a method and device for limiting demand of power for a power consumption system. The method comprises computing demand limiting threshold values based on one or more predefined parameters and further determining a demand limiting mode of the power consumption system to be one of enabled and disabled based on the demand limiting threshold values, the one or more predefined parameters and a ratio which is based on benefit to a user in terms of cost and impact on the user associated with the demand limiting mode. The method further comprises identifying demand limiting strategy based on the one or more predefined parameters and the impact when the demand limiting mode is enabled. Further the method comprises executing the demand limiting strategy on one or more target equipment based on a switching sequence.

Abstract: This disclosure relates to modeling of target infrastructure for energy management in distributed-facilities.

Abstract: A system and method for energy management for multi customer multi time zone distributed facilities are disclosed. In one embodiment, data associated with the energy management of the multi customer distributed facilities located in different time zones is obtained based on associated energy models by a data acquisition/integration layer. Further, the obtained data for energy management of the multi customer distributed facilities is transformed by a data management layer. Furthermore, control commands are generated using the transformed data and associated one or more pre-defined thresholds and set-points by an energy transaction layer. Also, energy of the multi customer distributed facilities is substantially simultaneously managed using the generated control commands by the energy transaction layer.