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DISTRIBUTED LEDGER TECHNOLOGY AND ARTIFICIAL INTELLIGENCE-BASED ENERGY TRADING

机译:分布式分区技术和基于人工智能的能源交易

摘要

In some examples, distributed ledger technology and artificial intelligence-based energy trading may include ascertaining energy data that includes historical weather data for a plurality of units, future climate forecast data, household behavioral energy data, and distributed ledger technology energy marketplace data. Based on a specified time interval, a specified future time duration may be divided to generate a plurality of specified divided future time durations to determine a price of energy. A trading recommendation may be generated for a time during the specified future time duration to buy the energy from a distributed ledger technology energy marketplace, and/or another time during the specified future time duration to sell the energy to the distributed ledger technology energy marketplace. Further, instructions to implement the recommendation may be generated to buy the energy and/or sell the energy.
机译:在一些示例中,分布式分类帐技术和基于人工智能的能量交易可以包括确定包括多个单元的历史天气数据的能量数据,未来的气候预测数据,家庭行为能量数据和分布式分类账技术能源市场数据。 基于指定的时间间隔,可以将指定的未来持续时间划分为生成多个指定的划分的未来时间持续时间以确定能量的价格。 可以在指定的未来时间持续时间内产生交易建议,以便从分布式分类帐技术能源市场购买能源,和/或其他时间在指定的未来时间持续时间内将能量销售给分布式分区技术能源市场。 此外,可能产生实施推荐的说明以购买能量和/或销售能量。

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