Recent Findings from Guangxi University Has Provided New Information about Neural Networks and Learning Systems (Combination of Manifold Learning and Deep Learning Algorithms for Mid-term Electrical Load Forecasting)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Investigators publish new report on Networks - Neural Networks and Learning Systems. According to news originating from Nanning, People’s Republic of China, by NewsRx correspondents, research stated, “Mid-term load forecasting (MTLF) is of great significance for power system planning, operation, and power trading. However, the mid-term electrical load is affected by the coupling of multiple factors and demonstrates complex characteristics, which leads to low prediction accuracy in MTLF.”