[HTML][HTML] A systematic review of big data innovations in smart grids

H Taherdoost - Results in Engineering, 2024 - Elsevier
Multiple industries have been revolutionized by the incorporation of data science
advancements into intelligent environment technologies, specifically in the context of smart …

An overview of reinforcement learning-based approaches for smart home energy management systems with energy storages

W Pinthurat, T Surinkaew, B Hredzak - Renewable and Sustainable Energy …, 2024 - Elsevier
The paper's state-of-the-art review focuses on an in-depth evaluation of smart home energy
management systems which employ reinforcement learning-based methods to integrate …

[HTML][HTML] Artificial intelligence-powered energy community management for develo** renewable energy systems in smart homes

SS Binyamin, SAB Slama, B Zafar - Energy Strategy Reviews, 2024 - Elsevier
The increase in demand due to scientific innovation and economic expansion raises
challenges linked to environmental impact and sustainable market development. This study …

Enhancing sustainability in electric mobility: Exploring blockchain applications for secure EV charging and energy management

MT Rana, M Numan, M Yousif, T Hussain… - Computers and …, 2024 - Elsevier
The global shift towards reducing carbon emissions has spurred a growing interest in
electric vehicles (EVs) over traditional fossil fuel-based internal combustion engines …

Systematic analysis of the blockchain in the energy sector: Trends, issues, and future directions

CQ Ma, YT Lei, YS Ren, XQ Chen, YR Wang… - Telecommunications …, 2024 - Elsevier
The decentralized revolution being ushered in by blockchain, an emerging technology with
the potential to bring significant innovation and benefits, has also piqued the interest of …

[HTML][HTML] CC-GAIN: Clustering and classification-based generative adversarial imputation network for missing electricity consumption data imputation

J Hwang, D Suh - Expert Systems with Applications, 2024 - Elsevier
The widespread use of data across various fields has made missing data imputation
technology a crucial tool. High-quality data is essential for effective energy management in …

Blockchain-based energy consumption approaches in IoT

SM Habibullah, S Alam, S Ghosh, A Dey, A De - Scientific Reports, 2024 - nature.com
Blockchain is a decentralized electronic account book that is secure, open, and impervious
to manipulation, and records transactions across numerous computers. Internet of Things …

Blockchain and Quantum Machine Learning Driven Energy Trading for Electric Vehicles

PK Kashyap, U Dohare, M Kumar, S Kumar - Ad Hoc Networks, 2024 - Elsevier
With the steep growth of Electric Vehicles (EV's), the consequent demand of energy for
charging puts significant load to powergrids. Renewable Energy Sources enabled …

Intelligent wearable-assisted digital healthcare industry 5.0

V Tandel, A Kumari, S Tanwar, A Singh… - Artificial Intelligence in …, 2024 - Elsevier
The latest evolution of the healthcare industry from Industry 1.0 to 5.0, incorporating smart
wearable devices and digital technologies, has revolutionized healthcare delivery and …

Multivariate rolling decomposition hybrid learning paradigm for power load forecasting

A Xu, J Chen, J Li, Z Chen, S Xu, Y Nie - Renewable and Sustainable …, 2025 - Elsevier
Very-short-term power load forecasting (VSTLF) is essential for supporting government
planning in the transformation and expansion of power grids, as well as in the formulation of …