Demand-side scheduling based on multi-agent deep actor-critic learning for smart grids

• المؤلفون الرئيسيون: Lee, Joash, Wang, Wenbo, Niyato, Dusit
• مؤلفون آخرون: Interdisciplinary Graduate School (IGS)
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Engineering::Mechanical engineering; Reinforcement Learning; Smart Grid
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/144903

We consider the problem of demand-side energy management, where each household is equipped with a smart meter that is able to schedule home appliances online. The goal is to minimize the overall cost under a real-time pricing scheme. While previous works have introduced centralized approaches in whi...