Analysis of the Impact Law of Load Forecasting on Multi Objective Optimization Scheduling of New Energy Grid
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.
load forecastingnew energy gridoptimized scheduling
万方数据
维普
