Systems and methods for market-based financial settlement in an electric power grid are disclosed. At least one active grid element is constructed and configured in network communication with a settlement processor. The at least one active grid element participates in the electric power grid by consuming power, supplying power, and/or curtailing power to provide operating reserves and/or grid stability for the electric power grid. The at least one active grid element generates at least one kilowatt packet (KWP) unit based upon measured data for the participation in the electric power grid. The at least one active grid element transmits at least one IP-based settlement message to the settlement processor. The settlement processor provides a market-based financial settlement for the participation of the at least one active grid element based on the at least one KWP unit in real time or near real time.

Systems and methods for market-based financial settlement in an electric power grid are disclosed. At least one active grid element is constructed and configured in network communication with a settlement processor. The at least one active grid element participates in the electric power grid by consuming power, supplying power, and/or curtailing power to provide operating reserves and/or grid stability for the electric power grid. The at least one active grid element generates at least one kilowatt packet (KWP) unit based upon measured data for the participation in the electric power grid. The at least one active grid element transmits at least one IP-based settlement message to the settlement processor. The settlement processor provides a market-based financial settlement for the participation of the at least one active grid element based on the at least one KWP unit in real time or near real time.

Systems and methods for market-based financial settlement of transactions within an electric power grid are disclosed. At least one active grid element is constructed and configured in Internet Protocol (IP)-based network communication with a settlement processor via at least one coordinator in real-time or in a predetermined timeframe. The at least one active grid element generates revenue grade metrology data based on measurement and verification for a participation of the at least one active grid element in the electric power grid. The at least one active grid element provides automated messaging to the settlement processor. The settlement processor provides a market-based financial settlement message based upon the revenue grade metrology data and a kilowatt packet (KWP) unit. The KWP unit provides a quantifying market rate for monetization for any unit of kilowatts with respect to time.

Systems and methods for market-based financial settlement of transactions within an electric power grid are disclosed. At least one active grid element is constructed and configured in Internet Protocol (IP)-based network communication with a settlement processor via at least one coordinator in real-time or in a predetermined timeframe. The at least one active grid element generates revenue grade metrology data based on measurement and verification for a participation of the at least one active grid element in the electric power grid. The at least one active grid element provides automated messaging to the settlement processor. The settlement processor provides a market-based financial settlement message based upon the revenue grade metrology data and a kilowatt packet (KWP) unit. The KWP unit provides a quantifying market rate for monetization for any unit of kilowatts with respect to time.

Systems and methods for a hybrid system-on-chip usable for predicting performance and power requirements of a host server include a big cores module, including central processing units, for receiving and pre-processing performance and power metrics data of the host server and to allocate computing resources, a small cores module, including massively parallel processing units, for mapping each instance associated with host server in the performance and power metrics data to a corresponding massively parallel processing unit based on the allocated computing resources for a per-instance metrics calculation, and an artificial intelligence (AI) accelerator for calculating performance and power prediction results based on the per-instance calculations from the small cores module.

Systems, methods, and apparatus embodiments for electric power grid and network registration and management of physical and financial settlement for participation of active grid elements in supply and/or curtailment of power, wherein Internet Protocol (IP)-based messages including IP packets are generated by transforming raw data content into settlement grade content. Settlement is provided for grid elements that participate in the electric power grid following initial registration of each grid element with the system, preferably through network-based communication between the grid elements and a coordinator, either in coordination with or outside of an IP-based communications network router. Messaging related to settlement is managed through a network by a coordinator using IP messaging for communication with the grid elements, with the energy management system (EMS), and with the utilities, market participants, and/or grid operators.

Systems, methods, and apparatus embodiments for electric power grid and network registration and management of physical and financial settlement for participation of active grid elements in supply and/or curtailment of power, wherein Internet Protocol (IP)-based messages including IP packets are generated by transforming raw data content into settlement grade content. Settlement is provided for grid elements that participate in the electric power grid following initial registration of each grid element with the system, preferably through network-based communication between the grid elements and a coordinator, either in coordination with or outside of an IP-based communications network router. Messaging related to settlement is managed through a network by a coordinator using IP messaging for communication with the grid elements, with the energy management system (EMS), and with the utilities, market participants, and/or grid operators.

A method is disclosed for controlling a charge transfer of an electric vehicle using an electric vehicle charging station, a mobile device, and a cloud server. The method includes receiving, at a mobile device, a message for an electric vehicle of a user directly from the electric vehicle charging station, wherein a user of the mobile device is associated with the electric vehicle to be charged. The method also includes receiving the charging control signal from the cloud server via the mobile device at the electric vehicle charging station in response to authorizing a charging control signal using identification information and credit account information received from the mobile device, wherein the charging control signal is configured to adjust a parameter used to draw electric power from the electric vehicle charging station.

Systems and methods for intelligent data center power management and energy market disaster recovery comprised of data collection layer, infrastructure elements, application elements, power elements, virtual machine elements, analytics/automation/actions layer, analytics or predictive analytics engine, automation software, actions software, energy markets analysis layer and software and intelligent energy market analysis elements or software. Plurality of data centers employ systems and methods comprising a plurality of Tier 2 data centers that may be running applications, virtual machines and physical computer systems to enable data center and application disaster recovery from utility energy market outages. Systems and methods may be employed to enable application load balancing and data center power load balancing across a plurality of data centers by moving application and power loads from one data center location using power during peak energy hours to another data center location using power during off-peak hours.

A method for determining parameters of a simplified model of an energy storage system, including an energy storage device and a conversion device, the system being modelled by a complex model including models of the energy storage and conversion devices; the complex model receiving a setpoint power P.sub.ac_sp and a state of charge SOC.sub.p at input and providing the state of charge SOC of the storage device and the power P.sub.ac at the output of the storage device at output; the method including implementing simulations of the energy storage system using the complex model; calculating (a) a table of the variation in the state of charge of the system as a function of the setpoint power and of a state of charge, (b) a table of maximum power as a function of the state of charge; (c) a table of minimum power as a function of the state of charge.