Sep 27, 2024 ¡¤ This paper presents a hierarchical deep reinforcement learning (DRL) method for the scheduling of energy consumptions of smart home appliances and distributed ...

Sep 27, 2024 ¡¤ This paper proposes a deep reinforcement learning-based distributed resource energy management strategy, taking into account the inherent physical and ...

Oct 4, 2024 ¡¤ This article presents an efficient and easily implementable real-time energy management and control system based on multi-agent systems for hybrid Low-Voltage ...

Sep 25, 2024 ¡¤ This paper examines 6G networks from an AI perspective to optimize resource allocation, minimize energy consumption, and maximize network performance. The focus ...

6 days ago ¡¤ AI-driven energy management systems leverage advanced algorithms and data analytics to optimize energy consumption in buildings.

Sep 25, 2024 ¡¤ The approaches are typically designed for optimizing the charging parameters and analyzing parameter correlations, user travel patterns, and vehicle ...

Oct 1, 2024 ¡¤ This research study presents a resilient control scheme for an islanded DC microgrid (DC MG) integrating solar photovoltaic (PV), battery storage (BESS), and ...

Oct 3, 2024 ¡¤ A cloud-edge collaboration solution for distribution network reconfiguration using multi-agent deep reinforcement learning. IEEE Trans. Power Syst.39(2) ...

4 days ago ¡¤ A comprehensive review of machine learning and IoT solutions for demand side energy management, conservation, and resilient operation ... management for electric ...