This Research Topic cover latest research in the areas of energy storage system optimization and control, demand response and load management, new power system scheduling, power system security defense and restoration, energy market and trading, and application of. This Research Topic cover latest research in the areas of energy storage system optimization and control, demand response and load management, new power system scheduling, power system security defense and restoration, energy market and trading, and application of. Affiliation: College of Electric Power, Inner Mongolia University of Technology, Hohhot, 010080, China Homepage: Research Interests: energy management, energy storage, artificial neural networks, advanced machine learning, lithium battery Prof. Guangchen Liu Email: liugc@imut. cn Affiliation:. Renewable energy development and advanced storage technologies are key to reducing fossil fuel dependence and enabling the green transition. Key Learning 1: Storage is poised for rapid growth. Key Learning 2: Recent storage cost declines are projected to continue, with. In recent years, with the widespread adoption of distributed renewable energy and electric vehicles, the power grid faces new challenges in ensuring stable and sustainable development. This paper proposes a multi-objective economic capacity.