Researchers improve management of electric vehicle charging through machine learning

The introduction of millions of electric vehicles (EVs) on to the power grid will create a transformational opportunity for America’s decarbonization efforts. However, it also brings with it an important challenge. Scientists and engineers are looking for the best way to ensure that vehicles can be charged smartly, efficiently, cheaply and clean by a grid that may not be able to accommodate them all at once or all the time.

Fengyun-4A satellite and machine learning model advance solar photovoltaic resource mapping in China

China’s commitment to achieving carbon neutrality takes a significant step forward with the successful collaboration between the Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP/CAS), Harbin Institute of Technology (HIT) and the National Satellite Meteorological Center (MSMC) of China Meteorological Administration. Together, they have made notable progress in solar resource assessment, a critical element for utilizing photovoltaic (PV) energy efficiently.