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[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 …
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
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 …
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
The increase in demand due to scientific innovation and economic expansion raises
challenges linked to environmental impact and sustainable market development. This study …
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
The global shift towards reducing carbon emissions has spurred a growing interest in
electric vehicles (EVs) over traditional fossil fuel-based internal combustion engines …
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 …
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 …
technology a crucial tool. High-quality data is essential for effective energy management in …
Blockchain-based energy consumption approaches in IoT
Blockchain is a decentralized electronic account book that is secure, open, and impervious
to manipulation, and records transactions across numerous computers. Internet of Things …
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 …
charging puts significant load to powergrids. Renewable Energy Sources enabled …
Intelligent wearable-assisted digital healthcare industry 5.0
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 …
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 …
planning in the transformation and expansion of power grids, as well as in the formulation of …