[HTML][HTML] A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries

S Wang, S Jin, D Bai, Y Fan, H Shi, C Fernandez - Energy Reports, 2021 - Elsevier
As widely used for secondary energy storage, lithium-ion batteries have become the core
component of the power supply system and accurate remaining useful life prediction is the …

A critical review of improved deep convolutional neural network for multi-timescale state prediction of lithium-ion batteries

S Wang, P Ren, P Takyi-Aninakwa, S Jin, C Fernandez - Energies, 2022 - mdpi.com
Lithium-ion batteries are widely used as effective energy storage and have become the main
component of power supply systems. Accurate battery state prediction is key to ensuring …

Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries …

S Wang, F Wu, P Takyi-Aninakwa, C Fernandez… - Energy, 2023 - Elsevier
For the development of low-temperature power systems in aviation, the transport synergistic
carrier optimization of lithium-ions and electrons is conducted to improve the low …

A tri-layer stochastic framework to manage electricity market within a smart community in the presence of energy storage systems

SA Mansouri, S Maroufi, A Ahmarinejad - Journal of Energy Storage, 2023 - Elsevier
In recent years, with the restructuring of the electricity market, the main goal of all market
participants is to maximize their profits. Among these, the stability of the system as well as …

A robust dispatch model for integrated electricity and heat networks considering price-based integrated demand response

H Tan, W Yan, Z Ren, Q Wang, MA Mohamed - Energy, 2022 - Elsevier
Wind power integration may be restricted due to the asynchrony of electricity and heat loads
and the strong coupling between the power generation and heat production of combined …

Sustainable energies and machine learning: An organized review of recent applications and challenges

P Ifaei, M Nazari-Heris, AST Charmchi, S Asadi… - Energy, 2023 - Elsevier
In alignment with the rapid development of artificial intelligence in the era of data
management, the application domains for machine learning have expanded to all …

Sizing and forecasting techniques in photovoltaic-wind based hybrid renewable energy system: A review

AK Bansal - Journal of Cleaner Production, 2022 - Elsevier
With increasing awareness towards environmental concern, efforts are made to reduce
harmful effects of conventional electricity generation methods and uses of renewable …

Energy-transport scheduling for green vehicles in seaport areas: A review on operation models

Y Lu, S Fang, T Niu, R Liao - Renewable and Sustainable Energy Reviews, 2023 - Elsevier
Internal combustion engine vehicles, although conventionally playing essential roles in
seaport logistic operation, are major sources of carbon emissions. To guarantee the “green …

A secured advanced management architecture in peer-to-peer energy trading for multi-microgrid in the stochastic environment

MA Mohamed, A Hajjiah, KA Alnowibet… - IEEE …, 2021 - ieeexplore.ieee.org
Careful consideration of grid developments illustrates the fundamental changes in its
structure which its developments have taken place gradually for a long time. One of the most …

An overview of optimization techniques used for sizing of hybrid renewable energy systems

SA Memon, RN Patel - Renewable Energy Focus, 2021 - Elsevier
Highlights•The variable renewable energy sources necessitate the HRES to stabilize the
output.•Classical optimization techniques are adequate for the system with single …