[HTML][HTML] Role of optimization techniques in microgrid energy management systems—A review

GS Thirunavukkarasu, M Seyedmahmoudian… - Energy Strategy …, 2022 - Elsevier
Expeditious urbanization, population growth, and technological advancements in the past
decade have significantly impacted the rise of energy demand across the world. Mitigation of …

A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids

S Aslam, H Herodotou, SM Mohsin, N Javaid… - … and Sustainable Energy …, 2021 - Elsevier
Microgrids have recently emerged as a building block for smart grids combining distributed
renewable energy sources (RESs), energy storage devices, and load management …

Integration of smart grid with renewable energy sources: Opportunities and challenges–A comprehensive review

T Kataray, B Nitesh, B Yarram, S Sinha, E Cuce… - Sustainable Energy …, 2023 - Elsevier
Renewable energy is the most promising solution to the rising problem of greenhouse gas
emissions, and it also contributes to environmental protection. A typical electrical grid is a …

Demand side management in microgrid: A critical review of key issues and recent trends

D Kanakadhurga, N Prabaharan - Renewable and Sustainable Energy …, 2022 - Elsevier
In a deregulated power system, Demand Side Management (DSM) plays a vital role in
handling the uncertain renewable power generation and load. The flat load-profile can be …

[HTML][HTML] Reinforcement learning for electric vehicle applications in power systems: A critical review

D Qiu, Y Wang, W Hua, G Strbac - Renewable and Sustainable Energy …, 2023 - Elsevier
Electric vehicles (EVs) are playing an important role in power systems due to their significant
mobility and flexibility features. Nowadays, the increasing penetration of renewable energy …

A stacked GRU-RNN-based approach for predicting renewable energy and electricity load for smart grid operation

M Xia, H Shao, X Ma… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Predictions of renewable energy (RE) generation and electricity load are critical to smart grid
operation. However, the prediction task remains challenging due to the intermittent and …

Hierarchical operation of electric vehicle charging station in smart grid integration applications—An overview

Y Wu, Z Wang, Y Huangfu, A Ravey, D Chrenko… - International Journal of …, 2022 - Elsevier
With the fast development of electrifications of vehicles, EV charging stations are booming in
coming years. Meanwhile, the growing demand for charging power, and the stochastic …

[HTML][HTML] Demand side management of electric vehicles in smart grids: A survey on strategies, challenges, modeling, and optimization

S Mohanty, S Panda, SM Parida, PK Rout, BK Sahu… - Energy Reports, 2022 - Elsevier
The shift of transportation technology from internal combustion engine (ICE) based vehicles
to electric vehicles (EVs) in recent times due to their lower emissions, fuel costs, and greater …

An internet of energy framework with distributed energy resources, prosumers and small-scale virtual power plants: An overview

K Mahmud, B Khan, J Ravishankar, A Ahmadi… - … and Sustainable Energy …, 2020 - Elsevier
Current power networks and consumers are undergoing a fundamental shift in the way
traditional energy systems were designed and managed. The bidirectional peer-to-peer (P …

[HTML][HTML] Combined vehicle to building (V2B) and vehicle to home (V2H) strategy to increase electric vehicle market share

D Borge-Diez, D Icaza, E Açıkkalp, H Amaris - Energy, 2021 - Elsevier
Buildings are one of the most important energy consumers in modern economy countries.
The massive use of electrical vehicles could help decarbonizing the economy by using …