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This invention describes a system that uses artificial intelligence and distributed ledger technology (like blockchain) to help people trade energy. It gathers various data, including historical weather, future climate predictions, and how households typically use energy. Based on this information, the system predicts energy prices for future time periods and then recommends when to buy or sell energy on a distributed marketplace. Finally, it can generate instructions to automatically execute these trades. The claims specifically focus on using historical weather data from a geographic region with units that both supply and buy energy from a provider.
Why it matters: Since 2020, machine learning models for complex time-series forecasting have become significantly more powerful and accessible, improving the accuracy of energy price predictions. Concurrently, distributed ledger technology platforms have matured, offering more robust and scalable solutions for decentralized energy marketplaces.
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