A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior
E Yaghoubi, E Yaghoubi, A Khamees, D Razmi… - … Applications of Artificial …, 2024 - Elsevier
Abstract Machine learning (ML) and deep learning (DL) have enabled algorithms to
autonomously acquire knowledge from data, facilitating predictive and decision-making …
autonomously acquire knowledge from data, facilitating predictive and decision-making …
Recent progress in the synthesis of graphene and derived materials for next generation electrodes of high performance lithium ion batteries
The importance of graphene and its derivatives for “clean energy” applications became
apparent over the last few years due to their exceptional characteristics, especially …
apparent over the last few years due to their exceptional characteristics, especially …
Research on the orderly charging and discharging mechanism of electric vehicles considering travel characteristics and carbon quota
L Zhang, Q Yin, W Zhu, L Lyu, L Jiang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
To study the impact of personal carbon trading (PCT) mechanism on the economy and
reliability of the power distribution system operation, this paper proposes an orderly …
reliability of the power distribution system operation, this paper proposes an orderly …
Optimal energy management for multi-energy multi-microgrid networks considering carbon emission limitations
Multi-energy multi-microgrid (MMG) networks are considered as a promising form of energy
systems that can integrate various energy resources and improve energy utilization …
systems that can integrate various energy resources and improve energy utilization …
[HTML][HTML] Chinas plug-in hybrid electric vehicle transition: An operational carbon perspective
Assessing the emissions of plug-in hybrid electric vehicle (PHEV) operations is crucial for
accelerating the carbon–neutral transition in the passenger car sector. This study is the first …
accelerating the carbon–neutral transition in the passenger car sector. This study is the first …
State-of-the-art generation expansion planning: A review
Abstract The long-term Generation Expansion Planning (GEP) problem determines the
optimal type of energy technologies, size, location, and time construction of new power …
optimal type of energy technologies, size, location, and time construction of new power …
A comprehensive analysis of Vehicle to Grid (V2G) systems and scholarly literature on the application of such systems
B Bibak, H Tekiner-Moğulkoç - Renewable Energy Focus, 2021 - Elsevier
Without any doubt, the environmental issues are the top worries between all the nations in
the current century. According to the recent studies, the researchers have shown that the …
the current century. According to the recent studies, the researchers have shown that the …
[HTML][HTML] Should we reinforce the grid? Cost and emission optimization of electric vehicle charging under different transformer limits
With high electric vehicle (EV) adoption, optimization of the charging process of EVs is
becoming increasingly important. Although the CO 2 emission impact of EVs is heavily …
becoming increasingly important. Although the CO 2 emission impact of EVs is heavily …
Wireless power transfer technologies applied to electric vehicles: A review
The expansion on the use of Electric Vehicles demands new mechanisms to ease the
charging process, making it autonomous and with a reduced user intervention. This paper …
charging process, making it autonomous and with a reduced user intervention. This paper …
Transport (Chapter 10)
Meeting climate mitigation goals would require transformative changes in the transport
sector (high confidence). In 2019, direct greenhouse gas (GHG) emissions from the transport …
sector (high confidence). In 2019, direct greenhouse gas (GHG) emissions from the transport …