Abstract: Disclosed herein are embodiments for optimization of an energy grid system. First and second prediction models associated with a first energy grid system and a second energy grid system, respectively, may be trained based on historical data associated with each energy grid system. A prediction model basis may be created including the first and second prediction models. Training data associated with a third energy grid system may be input into each prediction model of the prediction model basis, and an accuracy of the prediction models may be evaluated to determine whether the prediction model basis is complete. When complete, a context-matching model may be trained based on subsequent energy grid systems until the context-matching model is determined to be sufficiently accurate. Then, the context-matching model may be used to identify a prediction model matching a new energy grid system, which may be used to warm-start the new energy grid system.

Abstract: A system and method for energy optimization is disclosed. The system may collect information from an information collector data including energy usage and storage data of at least one renewable energy generation system and battery energy storage system (BESS). The system may identify historical events that result in curtailment of renewable energy production, determine whether there is a curtailment of renewable energy production based at least on one historical event supervise the charge and discharge cycles of the at least one BESS; and ensuring that the diesel generators minimum up/down time is satisfied based on controlling at least one parameter of the BESS.

Abstract: Disclosed herein are embodiments for optimization of an energy grid system. First and second prediction models associated with a first energy grid system and a second energy grid system, respectively, may be trained based on historical data associated with each energy grid system. A prediction model basis may be created including the first and second prediction models. Training data associated with a third energy grid system may be input into each prediction model of the prediction model basis, and an accuracy of the prediction models may be evaluated to determine whether the prediction model basis is complete. When complete, a context-matching model may be trained based on subsequent energy grid systems until the context-matching model is determined to be sufficiently accurate. Then, the context-matching model may be used to identify a prediction model matching a new energy grid system, which may be used to warm-start the new energy grid system.

Abstract: A system and method for energy optimization is disclosed. The system may collect information from an information collector data including energy usage and storage data of at least one renewable energy generation system and battery energy storage system (BESS). The system may identify historical events that result in curtailment of renewable energy production, determine whether there is a curtailment of renewable energy production based at least on one historical event supervise the charge and discharge cycles of the at least one BESS; and ensuring that the diesel generators minimum up/down time is satisfied based on controlling at least one parameter of the BESS.

Abstract: Disclosed herein are embodiments for optimization of an energy grid system. First and second prediction models associated with a first energy grid system and a second energy grid system, respectively, may be trained based on historical data associated with each energy grid system. A prediction model basis may be created including the first and second prediction models. Training data associated with a third energy grid system may be input into each prediction model of the prediction model basis, and an accuracy of the prediction models may be evaluated to determine whether the prediction model basis is complete. When complete, a context-matching model may be trained based on subsequent energy grid systems until the context-matching model is determined to be sufficiently accurate. Then, the context-matching model may be used to identify a prediction model matching a new energy grid system, which may be used to warm-start the new energy grid system.

Abstract: A system and method for energy optimization is disclosed. The system may collect information from an information collector data including energy usage and storage data of at least one renewable energy generation system and battery energy storage system (BESS). The system may identify historical events that result in curtailment of renewable energy production, determine whether there is a curtailment of renewable energy production based at least on one historical event supervise the charge and discharge cycles of the at least one BESS; and ensuring that the diesel generators minimum up/down time is satisfied based on controlling at least one parameter of the BESS.

Abstract: Systems and methods are described for distributed hierarchical artificial intelligence (AI) in smart grids using two levels. At a higher level, the AI center module sits at the high-voltage transmission or distribution substation level, and manages a few points of aggregations (POA). At a lower hierarchy, each POA consists of all controllable and non-controllable elements in distribution feeder, distribution transformer, or microgrid level. These elements include distributed energy resources, energy storage systems, residential and commercial energy management systems, electric vehicle charging stations, etc. Each POA may be logically and/or physically connected to other POAs. Within each POA, AI edge module calculates the optimal disaggregation of set-points received from the AI center module to the controllable elements based on local information, and information gathered from the AI center module.

Abstract: Disclosed herein are embodiments for optimization of an energy grid system. First and second prediction models associated with a first energy grid system and a second energy grid system, respectively, may be trained based on historical data associated with each energy grid system. A prediction model basis may be created including the first and second prediction models. Training data associated with a third energy grid system may be input into each prediction model of the prediction model basis, and an accuracy of the prediction models may be evaluated to determine whether the prediction model basis is complete. When complete, a context-matching model may be trained based on subsequent energy grid systems until the context-matching model is determined to be sufficiently accurate. Then, the context-matching model may be used to identify a prediction model matching a new energy grid system, which may be used to warm-start the new energy grid system.

Abstract: A method and system for short term wind power prediction using real time wind speed measurements is disclosed. The method includes receiving at least one real-time characteristic associated with at least one wind turbine, maintaining a database of characteristics associated with the at least one wind turbines, training a machine learning model based on one or both of the database of characteristics and the at least one characteristic, testing the accuracy of the at least one machine learning model and outputting from the machine learning model generated output data based on the training and testing data. Responsive to determining that the accuracy exceeds a predetermined value, one or both of wind speed and energy output of the at least one wind turbine can be calculated.

Abstract: A system and method for energy optimization is disclosed. The system may collect information from an information collector data including energy usage and storage data of at least one renewable energy generation system and battery energy storage system (BESS). The system may identify historical events that result in curtailment of renewable energy production, determine whether there is a curtailment of renewable energy production based at least on one historical event supervise the charge and discharge cycles of the at least one BESS; and ensuring that the diesel generators minimum up/down time is satisfied based on controlling at least one parameter of the BESS.

Abstract: Disclosed herein are embodiments for optimization of an energy grid system. First and second prediction models associated with a first energy grid system and a second energy grid system, respectively, may be trained based on historical data associated with each energy grid system. A prediction model basis may be created including the first and second prediction models. Training data associated with a third energy grid system may be input into each prediction model of the prediction model basis, and an accuracy of the prediction models may be evaluated to determine whether the prediction model basis is complete. When complete, a context-matching model may be trained based on subsequent energy grid systems until the context-matching model is determined to be sufficiently accurate. Then, the context-matching model may be used to identify a prediction model matching a new energy grid system, which may be used to warm-start the new energy grid system.

Abstract: Disclosed herein are embodiments for optimization of an energy grid system. First and second prediction models associated with a first energy grid system and a second energy grid system, respectively, may be trained based on historical data associated with each energy grid system. A prediction model basis may be created including the first and second prediction models. Training data associated with a third energy grid system may be input into each prediction model of the prediction model basis, and an accuracy of the prediction models may be evaluated to determine whether the prediction model basis is complete. When complete, a context-matching model may be trained based on subsequent energy grid systems until the context-matching model is determined to be sufficiently accurate. Then, the context-matching model may be used to identify a prediction model matching a new energy grid system, which may be used to warm-start the new energy grid system.

Abstract: A content capability clearing house that can act as a trusted and neutral mediator among network providers to manage rich content capabilities among multiple networks is provided. Content capabilities that can be brokered include, but are not limited to, quality of service and content screening. In an embodiment, a content capability clearing house includes a receiver that receives content capability request messages and other messages from network providers. A content capability request message includes a quality of service request and/or a subscriber profile request for use with content screening and subscriber specific advertisements. The present invention includes a series of methods for determining content capabilities for data transmission over a transaction between a content provider and a subscriber in which a content capability clearing house is used to efficiently broker and manage the capability among multiple network providers.

Abstract: Systems and methods for providing user-centric device-based data communications cost monitoring and controls. In an embodiment, the method operates by sending a registration request associated with a subscriber session, determining current data usage associated with the subscriber, and sending data usage thresholds. The method further comprises sending quotas associated with the subscriber session after collecting data usage information associated with the subscriber session. The method receives a notification at the subscriber's mobile device when a pre-determined quota is exceeded during the subscriber session to control data usage. The system communicates with a usage policy server and a usage policy application. The usage policy application allows a subscriber to alter terms and service tiers of a subscription.

Abstract: A radio spectrum management system is provided. In an embodiment, the radio spectrum management system includes a radio spectrum gateway, a radio spectrum management server and a radio spectrum policy decision server. The radio spectrum gateway is coupled to a radio access network that receives bandwidth requests from subscriber devices and provides bandwidth allocation decisions to the radio access network. The radio spectrum management server receives bandwidth requests from the radio spectrum gateway and provides bandwidth allocation decisions to the radio spectrum gateway based on radio resources and bandwidth policy decisions. The radio spectrum policy management server provides bandwidth policy decisions to the radio spectrum server. The bandwidth policy decisions are generated based on consideration of subscriber and/or application service provider characteristics.

Abstract: A content capability clearing house that can act as a trusted and neutral mediator among network providers to manage rich content capabilities among multiple networks is provided. Content capabilities that can be brokered include, but are not limited to, quality of service and content screening. In an embodiment, a content capability clearing house includes a receiver that receives content capability request messages and other messages from network providers. A content capability request message includes a quality of service request and/or a subscriber profile request for use with content screening and subscriber specific advertisements. The present invention includes a series of methods for determining content capabilities for data transmission over a transaction between a content provider and a subscriber in which a content capability clearing house is used to efficiently broker and manage the capability among multiple network providers.

Abstract: A content capability clearing house that can act as a trusted and neutral mediator among network providers to manage rich content capabilities among multiple networks is provided. Content capabilities that can be brokered include, but are not limited to, quality of service and content screening. In an embodiment, a content capability clearing house includes a receiver that receives content capability request messages and other messages from network providers. A content capability request message includes a quality of service request and/or a subscriber profile request for use with content screening and subscriber specific advertisements. The present invention includes a series of methods for determining content capabilities for data transmission over a transaction between a content provider and a subscriber in which a content capability clearing house is used to efficiently broker and manage the capability among multiple network providers.

Abstract: A content capability clearing house that can act as a trusted and neutral mediator among network providers to manage rich content capabilities among multiple networks is provided. Content capabilities that can be brokered include, but are not limited to, quality of service and content screening. In an embodiment, a content capability clearing house includes a receiver that receives content capability request messages and other messages from network providers. A content capability request message includes a quality of service request and/or a subscriber profile request for use with content screening and subscriber specific advertisements. The present invention includes a series of methods for determining content capabilities for data transmission over a transaction between a content provider and a subscriber in which a content capability clearing house is used to efficiently broker and manage the capability among multiple network providers.

Abstract: A content capability clearing house that can act as a trusted and neutral mediator among network providers to manage rich content capabilities among multiple networks is provided. Content capabilities that can be brokered include, but are not limited to, quality of service and content screening. In an embodiment, a content capability clearing house includes a receiver that receives content capability request messages and other messages from network providers. A content capability request message includes a quality of service request and/or a subscriber profile request for use with content screening and subscriber specific advertisements. The present invention includes a series of methods for determining content capabilities for data transmission over a transaction between a content provider and a subscriber in which a content capability clearing house is used to efficiently broker and manage the capability among multiple network providers.

Abstract: Systems and methods for providing carrier-centric data communications cost monitoring and controls are provided. In an embodiment, the method operates by receiving a registration request associated with a subscriber session, determining current data usage associated with the subscriber, and receiving data usage thresholds. The method further comprises receiving quotas associated with the subscriber session and collecting data usage information associated with the subscriber session. The method sends a notification to the subscriber when a pre-determined quota is exceeded during the subscriber session and controls data usage. The cost monitoring and control system comprises a usage policy server and a usage policy application. The usage policy application allows a carrier to offer alterations to terms of a subscription.