This paper describes the introduction of digital technologies such as artificial intelligence to improve the efficiency of multi-objective optimization scheduling in new energy power grids.It analyzes the deep mining of multi-source heterogeneous data value in case studies,in order to achieve more accurate load forecasting and multi-objective optimization scheduling strategies.
关键词
负荷预测/新能源电网/优化调度
Key words
load forecasting/new energy grid/optimized scheduling
维普
万方数据