摘要
机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据Ne wsRx记者来自德国亚琛的新闻报道，研究表明：“需求侧管理(DSM)通过在保持可行操作的同时改变电力消耗，促进了行业向可再生能源的过渡。机器学习在DSM中有希望获得合理的计算时间和电价预测(EPF)，这对获得必要数据至关重要。”这项研究的财政支持者包括联邦教育和研究部(BMBF)，德国赫尔姆霍茨研究中心协会，作为赫尔姆霍茨生命、地球和能源数据科学学院(HDS-LEE)的一部分。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Aachen, Germany, by Ne wsRx correspondents, research stated, “Demand side management (DSM) contributes to the industry’s transition to renewables by shifting electricity consumption i n time while maintaining feasible operations. Machine learning is promising for DSM with reasonable computation times and electricity price forecasting (EPF), w hich is paramount to obtaining the necessary data.” Financial supporters for this research include Federal Ministry of Education & Research (BMBF), Helmholtz Association of German Research Centers as part of the Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE).
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