A comprehensive review on deep learning approaches for short-term load forecasting

Y Eren, İ Küçükdemiral - Renewable and Sustainable Energy Reviews, 2024 - Elsevier
The balance between supplied and demanded power is a crucial issue in the economic
dispatching of electricity energy. With the emergence of renewable sources and data-driven …

A review on optimal energy management of multimicrogrid system considering uncertainties

G Ma, J Li, XP Zhang - IEEE Access, 2022 - ieeexplore.ieee.org
Microgrid (MG) is one of the most effective solution to integrate distributed renewable energy
into power system. However, modern MG has several technical challenges such as …

A hybrid robust-interval optimization approach for integrated energy systems planning under uncertainties

Y Dong, H Zhang, P Ma, C Wang, X Zhou - Energy, 2023 - Elsevier
The presence of multiple uncertainties in demand response and renewable energy
generation significantly impeded the planning of integrated energy systems (IES). To …

Enhancing operation flexibility of distributed energy systems: A flexible multi-objective optimization planning method considering long-term and temporary objectives

Z Tian, X Li, J Niu, R Zhou, F Li - Energy, 2024 - Elsevier
Flexibility is a crucial capability that distributed energy systems need to possess. Flexible
distributed energy systems can attain the objectives of daily economic operation for users …

A Bi-level optimization strategy for electric vehicle retailers based on robust pricing and hybrid demand response

W Meng, D Song, L Huang, X Chen, J Yang, M Dong… - Energy, 2024 - Elsevier
The high penetration of electric vehicles (EVs) poses both opportunities and challenges for
power systems. EV retailers, playing a critical role in the demand response mechanism, face …

[HTML][HTML] A new framework for electricity price forecasting via multi-head self-attention and CNN-based techniques in the competitive electricity market

A Pourdaryaei, M Mohammadi, H Mubarak… - Expert Systems with …, 2024 - Elsevier
Due to recent technical improvements, the smart grid has become a feasible platform for
electricity market participants to successfully regulate their bidding process based on …

Renewable-based microgrids' energy management using smart deep learning techniques: Realistic digital twin case

Q Li, Z Cui, Y Cai, Y Su, B Wang - Solar Energy, 2023 - Elsevier
In this research study, a novel demand response program (DRP) has been proposed for
renewable-based microgrids (MGs) which takes into account the high penetration of tidal …

Flexibility quantification and enhancement of flexible electric energy systems in buildings

Y Bai, W Zhang, T Yu, J Wang, G Deng, J Yan… - Journal of Building …, 2023 - Elsevier
The problems of continuous rise in global power consumption, gradual increase in the peak–
valley difference of power systems, and continuous expansion of renewable energy …

Bi-level multi-objective robust optimization for performance improvements in integrated energy system with solar fuel production

T Ren, R Li, X Li - Renewable Energy, 2023 - Elsevier
The authors design an integrated energy system with solar fuel preparation as the core,
integrating cooling, heating, electricity and fuel cell vehicles, aiming to meet the multiple …

Economic management and planning based on a probabilistic model in a multi-energy market in the presence of renewable energy sources with a demand-side …

S Bodong, J Wiseong, L Chengmeng, A Khakichi - Energy, 2023 - Elsevier
A key issue in the optimal operation of power systems is the economically efficient use of
microgrids while considering demand-side management. Implementation of demand-side …