摘要
由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-调查人员讨论人工智能的新发现。根据NewsRx编辑来自托木斯克州立控制系统和无线电电子大学的新闻，研究状态D，“这项研究使用随机森林机器学习模型来预测电力消耗和检测电网中的异常情况。该模型处理了能源部门面临的挑战，如供电可靠性和整合中的可再生能源，该模型处理了历史电力消耗数据、天气条件和电力网络的异常情况。”和网络事件，以有效地预测需求和识别ANOM ALIES。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from Tomsk State Universi ty of Control Systems and Radioelectronics by NewsRx editors, the research state d, “This research employs the Random Forest Machine Learning model to predict el ectricity consumption and detect anomalies in electrical networks. Addressing th e energy sector’s challenges, such as supply reliability and renewable energy in tegration, this model processes historical electricity consumption data, weather conditions, and network events to efficiently forecast demand and identify anom alies.”
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