摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-一项关于人工智能的新研究现在可用。根据消息来源NewsRx编辑在中华人民共和国兰州发表的研究报告称，"摘要"。我们的新闻记者从兰州大学的研究中获得了一句话：“受‘二元性’驱动”碳目标与新型电力系统建设——电力负荷预测的重要性技术日益突出。准确的电力负荷预测不仅可以保证电力系统的正常运行安全稳定地运行电力系统，同时也促进了清洁能源的有效利用减少碳排放。传统的电力负荷预测方法已不能满足实际需要随着电力系统的复杂性和非线性增长以及人工智能的发展技术为电力负荷预测带来了新的可能性。电力负荷预测方法b基于机器学习和深度学习由于其各自的特点逐渐成为研究的热点强大的非线性映射能力和处理大数据的优势。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news originatingfrom Lanzhou, People’s Republic of China, by NewsRx editors, the research stated, “Abstract.”Our news journalists obtained a quote from the research from Lanzhou University: “Driven by the ‘dualcarbon’ goals and the construction of new-type power syste ms, the importance of power load forecastingtechnology has become increasingly prominent. Accurate power load forecasting can not only ensure thesafe and stab le operation of the power system, but also promote the efficient use of clean en ergy andreduce carbon emissions. Traditional power load forecasting methods hav e become insufficient in dealingwith the complexity and nonlinear growth of pow er systems, and the development of artificial intelligencetechnology has brough t new possibilities for power load forecasting. Power load forecasting methods based on machine learning and deep learning have gradually become a hot topic of research due to theirpowerful nonlinear mapping capabilities and advantages in processing big data.”
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