System for assigning an energy consumer to an energy provider

Simple SummaryContent extracted from patent full text and abstract with AI.

This invention provides an intelligent system that dynamically and optimally matches energy consumers with energy providers (including producers, storages, and grid operators) in real time. It uses preferences and data from consumers (such as usage, source type, price, and location), as well as detailed, regularly updated information from energy market stakeholders (producers, storages, grid providers, regulators, and external sources), to predict energy demand and supply. An advanced ranking engine then selects the best provider and route for each consumer, considering network capacity, load balancing, price, and other operational constraints, ensuring efficient, reliable, and user-tailored energy delivery.

Use CasesContent extracted from patent full text and abstract with AI.

• Smart grid energy management for utilities and municipalities to optimally route and allocate energy in real time.
• Commercial or industrial energy consumers seeking the most cost-effective, reliable, or sustainable energy supply options.
• Vehicle charging networks (e.g., electric vehicle fleets) requiring dynamic sourcing and routing based on location, cost, and energy source.
• Energy market exchanges or brokers offering tailored energy supply contracts to consumers based on preferences and real-time market conditions.
• Large campuses, factories, or data centers aiming to maximize use of renewable sources and minimize energy costs while avoiding grid congestion.
• Integration in home or business energy management systems to automatically select the most favorable energy provider based on real-time offers.

BenefitsContent extracted from patent full text and abstract with AI.

• Optimized energy distribution based on both consumer preference and network status, increasing overall grid efficiency and reliability.
• Adaptive, real-time matching means consumers get the best available price, source, and delivery for their energy needs.
• Supports dynamic load balancing and minimizes transmission losses in complex grids with multiple providers and paths.
• Improves integration of renewable and distributed energy sources into the grid, supporting sustainability goals.
• Enables proactive handling of potential grid congestion and failures by factoring in grid status and predictions.
• User-centric solution: energy consumers have greater control and customization over where their energy comes from and what they pay.
• Automates complex decision-making in energy allocation, reducing human error and increasing operational speed.

Technical Classifications (CPCs)

Inventors & Applicants

Patent Abstract

The invention relates to a system for assigning at least one energy consumer to at least one energy provider comprising: a consumer preferences retrieval device configured to retrieve data on at least one of the following: at least one consumption data, at least one desired source of energy, a location of the at least one energy consumer; a data retrieval device, wherein the data retrieval device is configured to gather continuously or in time intervals data from a plurality of energy providers comprising at least one energy production provider and/or at least one energy storage provider and from at least one energy grid provider, and preferably from at least one regulator and/or at least one meta-information source; a prediction engine device, wherein the prediction engine device is configured to predict a demand of energy based on the data gathered by the consumer preferences retrieval device and a production of energy based on the data gathered by the data retrieval device; and a ranking engine device, wherein the ranking engine device is configured to rank pairs of energy consumers and candidate energy providers or preferably to rank triples of energy consumers, candidate energy providers and candidate energy grid provider under consideration of the data gathered by the consumer preferences retrieval device, the data gathered by the data retrieval device and the prediction performed by the prediction engine device. The invention also relates to a system for joint optimization of energy availability and network capacity in an energy grid using at least one of the following: load balancing, transport loss minimization, stable operation of the power supply, in particular without oscillations, and robust power supply, using a system for assigning at least one energy consumer to at least one energy provider.