Abstract: An AI-based platform for enabling intelligent orchestration and management of power and energy is provided herein. The AI-based platform includes a set of simulation systems that are configured to perform at least one simulation of at least one energy-related operation performed by a set of entities. The set of simulation systems is also configured to determine, based on the at least one simulation, energy associated with the set of entities.

Abstract: An AI-based platform for enabling intelligent orchestration and management of power and energy is provided herein. The AI-based platform includes a digital twin system including a digital twin of an energy operating asset, the digital twin of the energy operating asset including at least one of an energy generation digital twin; an energy storage digital twin, an energy delivery digital twin, and an energy consumption digital twin, an energy simulation system configured to generate a simulation of energy-related behavior of the energy operating asset; and a machine-learning system configured to generate a predicted state of the energy operating asset. The simulation of energy-related behavior includes a simulation of carbon emissions of the energy operating asset based on historical patterns, current states, and the predicted state of the energy operating asset.

Abstract: An AI-based platform for enabling intelligent orchestration and management of power and energy is provided herein. The AI-based platform includes an artificial intelligence system that is configured to generate a recommendation of a set of operating parameters for satisfaction of an energy demand of a set of entities within a defined domain. The recommendation is based on a data set of energy generation, energy storage, energy delivery, and/or energy consumption information. The artificial intelligence system has been trained on a set of outcomes associated with energy generation, energy storage, energy delivery, and/or energy consumption.

Abstract: An AI-based platform for enabling intelligent orchestration and management of power and energy is provided herein. The AI-based platform includes a set of adaptive, autonomous data handling systems, wherein each of the adaptive, autonomous data handling systems is configured to collect data relating to energy generation, energy storage, energy delivery, and/or energy consumption, wherein the data is collected from a set of edge devices that are in operational control of a set of distributed energy resources; and a set of intelligent agents configured to, by robotic process automation, autonomously adjust, based on the collected data, a set of operational parameters for such operational control.

Abstract: An AI-based platform for enabling intelligent orchestration and management of at least one operating process is provided herein. The AI-based platform includes an artificial intelligence system that is configured to generate a prediction of an energy pattern associated with the at least one operating process. The AI-based platform is also configured to manage the at least one operating process based on the prediction of the energy pattern.

Abstract: An AI-based platform for enabling intelligent orchestration and management of power and energy is provided herein. The AI-based platform includes a digital twin system including a plurality of digital twins of energy operating assets, the plurality of digital twins of energy operating assets including at least one energy generation digital twin, energy storage digital twin, energy delivery digital twin, and/or energy consumption digital twin, and a set of energy simulation systems configured to generate a simulation of energy-related behavior of at least one of the plurality of digital twins of energy operating assets, and a machine-learning system configured to generate a predicted state of at least one of the energy operating assets. The simulation of energy-related behavior is based on historical patterns, current states, and the predicted state of at least one of the energy operating assets.

Abstract: An AI-based platform for enabling intelligent orchestration and management of power and energy is provided herein. The AI-based platform includes a set of adaptive, autonomous data handling systems configured to collect data relating to energy generation, energy storage, energy delivery, and/or energy consumption, wherein the data is collected from a set of edge devices that are in operational control of a set of distributed energy resources and a set of legacy grid-based energy resources, an adaptive energy data pipeline configured to receive collected data from the autonomous data handling systems and communicate the received data across a set of nodes in a network; and a machine-learning system configured to generate predictions related to operation of a plurality of energy resources of a power grid. The predictions related to operation of the energy resources of a power grid include at least one of predictive maintenance, outage detection, or load forecasting.

Abstract: An AI-based platform for managing energy is provided herein. The AI-based platform is configured to produce at least one operating parameter for energy-related operations of a set of infrastructure assets. The at least one operating parameter is based on a data set of energy-related data associated with the set of infrastructure assets. The data set of energy-related data is at least partially generated by a set of sensors associated with a set of edge devices.

Abstract: An AI-based platform for enabling intelligent orchestration and management of power and energy is provided herein. The AI-based platform includes a set of adaptive, autonomous data handling systems that are configured to collect data relating to energy generation, energy storage, energy delivery, and/or energy consumption, wherein the data is collected from a set of artificial-intelligence enabled edge devices that are in operational control of a set of distributed energy resources and a set of legacy grid-based energy resources; and an adaptive energy data pipeline. The set of adaptive, autonomous data handling systems is configured to determine, based on the collected data, a mix of at least one of energy generation, energy storage, energy delivery, and/or energy consumption characteristics for a set of energy resources that are in local communication with the set of artificial-intelligence enabled edge devices and output a data set that represents a constituent proportion of the mix.

Abstract: An entertainment gaming system and method for transforming a non-random number outcome into an entertainment gaming outcome. The entertainment gaming system comprises a central server, non-random number outcome generator machine, entertainment gaming machine, and database. The central server communicatively coupled with non-random number outcome generator machine and entertainment gaming machine. The entertainment gaming system collects non-random number based outcome from real-world events and transmitting it to the central server. The central server further utilizes an algorithm to process the received non-random number outcome into an entertainment gaming outcome. Further, the present entertainment gaming system comprises a database to store the received real-world non-random number based outcome and processed entertainment gaming outcome generated from the received non-random number based outcome.

Abstract: Systems and methods for integrating a gaming engine and a smart contract system in a platform are provided. The gaming engine is programmed with a software development environment and an architecture that provides a set of gaming engine services with predefined tools for digital content developers to create a set of game engine generated environments. The smart contract system programmed with smart contract services associated with transactions that are based on electronically verifiable conditions. The integration platform is programmed with an execution framework that is common to the gaming engine and to the smart contract system to integrate the smart contract services with at least one of the gaming engine and the set of game engine generated environments.

Abstract: Embodiments of the present invention provide entertainment gaming systems and methods comprising, among other things, a real world non-random number outcome generator machine and an entertainment gaming machine wherein the non-random outcome from the real world non-random number generator machine is processed into an entertainment gaming machine outcome. The entertainment gaming system and method of embodiments of the invention may be configured to collect non-random number based outcome from a real-world event and transmitting it to the entertainment gaming machine. The non-random number outcome from the real-world is processed into an entertainment gaming machine outcome event by the entertaining game machine processor or by the central server.

Abstract: Systems and methods for transaction platforms include various systems interacting with each other and transacting in various ways. A method for configuring and launching a marketplace includes: identifying, by a processing system having one or more processors, an opportunity to facilitate configuration of a new marketplace; receiving marketplace opportunity data, wherein the marketplace opportunity data includes information related to a set of assets of one or more types; determining configuration parameters to be implemented in the new marketplace; determining the feasibility of implementing the configuration parameters in the new marketplace; determining data resources to support the new marketplace; determining an architecture of the new marketplace; determining the configuration of the data resources in a data model for the marketplace; configuring a marketplace object; connecting selected data resources to populate the marketplace object; and launching the new marketplace.

Abstract: Disclosed herein are AI-based platforms for enabling intelligent orchestration and management of power and energy. In various embodiments, a set of edge devices is configured to communicate with at least one energy generation facility, energy storage facility, and/or energy consumption system and automatically execute a set of preconfigured policies that govern energy generation, energy storage, or energy consumption of the respective energy generation facilities, energy storage facilities, or energy consumption systems. In some embodiments, the automatically executed policies are a set of contextual policies that adjust based on the current status of a set of energy generation entities in an energy grid.

Abstract: Disclosed herein are AI-based platforms for enabling intelligent orchestration and management of power and energy. In various embodiments, a policy and governance engine is configured to deploy a set of rules and/or policies that govern a set of energy generation, storage, and/or consumption workloads, wherein the rules and/or policies are associated with a configuration of a set of edge devices operating in local data communication with a set of energy generation facilities, energy storage facilities, energy delivery facilities or energy consumption systems. In some embodiments, upon configuration in the policy and governance engine, a policy associated with an energy generation instruction is automatically applied by at least one of the edge devices to control energy generation by at least one energy generation system that is controlled via the edge device.

Abstract: Disclosed herein are AI-based platforms for enabling intelligent orchestration and management of power and energy. In various embodiments, an artificial intelligence system us configured to analyze a data set of monitored local conditions and generate a recommended configuration of at least one distributed system of a set of distributed systems, each distributed system of the set of distributed systems being configurable both to produce energy and to consume energy, wherein the configuration causes the at least one distributed system to produce and/or consume energy based on the monitored local conditions. In some embodiments, the artificial intelligence system configures a plurality of the distributed systems in the set such that a set of aggregate performance requirements are satisfied across the plurality. In some embodiments, the aggregate performance requirements are a set of economic performance requirements and/or a set of regulatory performance requirements.

Abstract: Disclosed herein are AI-based platforms for enabling intelligent orchestration and management of power and energy. In various embodiments, an artificial intelligence system that is trained on a set of energy generation, energy storage, energy delivery and/or energy consumption outcomes, wherein the artificial intelligence system is configured to analyze a data set of current energy generation, current energy storage, current energy delivery and/or current energy consumption information and provide a recommendation including at least one operating parameter that satisfies both of a mobile entity energy demand or a fixed location energy demand in a defined domain. In some embodiments, the operating parameter indicates a generation instruction for a set of energy generation resources, a storage instruction for a set of energy storage resources, a delivery instruction for a set of energy delivery resources, and/or a consumption instruction for a set of entities that consume energy.

Abstract: Disclosed herein are AI-based platforms for enabling intelligent orchestration and management of power and energy. In various embodiments, an intelligent agent is trained on a data set of expert interactions with an energy provisioning system, wherein the intelligent agent is trained to generate at least one recommendation and/or instruction with respect to optimization of at least one energy objective and at least one other objective. In some embodiments, the other objective is an operational objective of an enterprise. In some embodiments, the intelligent agent operates on status data from a set of edge devices via which a set of energy generation resources are controlled.

Abstract: Disclosed herein are AI-based platforms for enabling intelligent orchestration and management of power and energy. In various embodiments, the AI-based platform includes a set of adaptive, autonomous data handling systems for energy data collection and transmission from a set of edge networking devices via which a set of distributed energy entities are controlled, wherein the data handling systems are trained based on a training data set to recognize a set of events and/or signals that indicate the energy patterns of the set of distributed energy resources. In some embodiments, the distributed energy entities include at least one energy generation resource, energy consuming entities, and/or energy storage resources. In various embodiments, the training data set includes historical energy generation data and/or historical energy consumption data for a set of entities similar to the entities controlled via the edge networking devices.

Abstract: Disclosed herein are AI-based platforms for enabling intelligent orchestration and management of power and energy. In various embodiments, a data processing system is configured to fuse at least one entity of an energy grid entity generation, storage, delivery or consumption grid data set with at least one entity of an off-grid energy entity generation, storage, delivery and/or consumption data set. In some embodiments, the data processing system is configured to automatically time align energy grid entity data with off-grid energy entity data. In some embodiments, the data processing system is configured to automatically collect off-grid energy entity sensor data from a set of edge devices via which a set of off-grid energy entities are controlled. In some embodiments, the data processing system automatically normalizes the energy grid entity data and the off-grid energy entity data such as to present the data according to a set of common units.