Abstract Machine learning has become the state-of-the-art technique for many tasks
including computer vision, natural language processing, speech processing tasks, etc …

This article proposes a hybrid policy-based reinforcement learning (HPRL) adaptive energy
management to realize the optimal operation for the island group energy system with energy …

The evolution of energy systems has placed end users in a central role in dynamic, flexible
and decentralised cloud-based energy management models. Different terms have been …

With the new feature of multi-energy coupling and the advancement of the energy market,
Energy Internet (EI) has higher requirements for the efficiency and applicability of integrated …

This brief investigates the reachable set estimation problem of the delayed Markovian jump
neural networks (NNs) with bounded disturbances. First, an improved reciprocally convex …

Strategic bidding which aims to optimally harvest the price difference in the wholesale
electricity market can efficiently allocate VPPs' aggregated resources to provide large …

With the development of the autonomous and supply-production-sale integrated We-Energy
(WeE), the Energy Internet performs a fully distributed structure, and the fluctuation of power …

This scientific paper highlights the critical significance of energy in driving sustainable
development and explores the transformative potential of Artificial Intelligence (AI) tools in …

This work proposes a novel architecture of a human-cyber-physical system (HCPS) to
operate nuclear reactors in the context of next-generation artificial intelligence (NGAI) …

Collaborative energy management is a critical issue in integrated energy system (IES).
Aiming at the problem, a novel finite time double consistency algorithm is proposed to solve …