ChatGPT, an artificial intelligence generated content (AIGC) model developed by OpenAI,
has attracted world-wide attention for its capability of dealing with challenging language …

Energy transformation and consumption improvements have enhanced the planning and
utilization of various energy sources. With the rapid expansion of integrated energy systems …

This paper investigates the electric vehicle (EV) charging scheduling problem for public EV
charging stations (EVCSs) that can accommodate heterogeneous charging demands …

In the era of an energy revolution, grid decentralization has emerged as a viable solution to
meet the increasing global energy demand by incorporating renewables at the distributed …

The integration of flexible loads, distributed energy resources, and other technologies is
becoming common in advance power and energy systems. However, the integration also …

With the growth in energy consumption, demand response (DR) programs in the power
network have gained popularity and can be expected to become more widespread in the …

The primary objective of implementing a demand response (DR) program is to actively
involve participants in maximizing social welfare by effectively reducing electricity demand …

To face the impact of climate change in all dimensions of our society in the near future, the
European Union (EU) has established an ambitious target. Until 2050, the share of …

To enhance the low reliability of supply that has resulted in an increasingly serious energy
crisis and environmental problems, extensive research on new clean renewable energy and …

This paper presents a Reinforcement Learning (RL) approach to a price-based Demand
Response (DR) program. The proposed framework manages a dynamic pricing scheme …