Researchers at Southwest Jiaotong University Have Reported New Data on Machine Learning (Robust Energy Management of Highspeed Railway Co-phase Traction Substation With Uncertain Pv Generation and Traction Load)

摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news reporting originating from Chengdu, People’s Republic of China, by NewsRx correspondents, research stated, “Co-phase traction power supply system provides the insights for solving the existing power quality and electrical sectioning issues in high-speed railways, and the flexible control of co-phase traction substation (CTSS) with the integration of photovoltaic (PV) and hybrid energy storage system (HESS) attracts widespread attention. However, the strong volatilities and uncertainties of PV and traction load introduce challenges to the reliable and economic operation of CTSS.”