[PDF][PDF] A comprehensive review of artificial intelligence and machine learning applications in energy sector

A Raihan - Journal of Technology Innovations and Energy, 2023 - researchgate.net
The energy industry worldwide is today confronted with several challenges, including
heightened levels of consumption and inefficiency, volatile patterns in demand and supply …

Towards mega-scale decarbonized industrial park (Mega-DIP): Generative AI-driven techno-economic and environmental assessment of renewable and sustainable …

SK Heo, J Byun, P Ifaei, J Ko, B Ha, S Hwangbo… - … and Sustainable Energy …, 2024 - Elsevier
In alignment with climate change mitigation plans, renewable and sustainable energy
integration into the industrial sector should be investigated for decarbonization purposes by …

The wind-solar hybrid energy could serve as a stable power source at multiple time scale in China mainland

Y Gao, Y Meng, G Dong, S Ma, C Miao, J **ao, S Mao… - Energy, 2024 - Elsevier
The instability of wind and solar power hinders their penetration into electrical transmission
networks. Hybrid wind-solar power generation can mitigate the instability of wind or solar …

Implications of smart grid and customer involvement in energy management and economics

AU Rehman, A Shafiq, Z Ullah, S Iqbal, HM Hasanien - Energy, 2023 - Elsevier
The production of electrical energy is always a substantial contributor to a country's
economy; in particular, integrating renewable energy sources into the existing power system …

Design and economic analysis of on-grid solar rooftop PV system using PVsyst software

Z Serat, SAZ Fatemi, S Shirzad - Archives of Advanced …, 2023 - ojs.bonviewpress.com
Most businesses heavily rely on a consistent and reliable supply of electricity to sustain their
operations. Unfortunately, the utility grid in Ghazni suffers from poor energy security, and …

Economy-wide assessment of achieving carbon neutrality in China's power sector: A computable general equilibrium analysis

Q Teng, YF Zhang, HD Jiang, QM Liang - Renewable Energy, 2023 - Elsevier
The low-carbon transition in the power sector is essential for realising carbon peak and
neutrality goals. However, there is a lack of research assessing the policy mix needed to …

[HTML][HTML] Addressing reliability challenges in generation capacity planning under high penetration of renewable energy resources and storage solutions: A review

T Ghanbarzadeh, D Habibi, A Aziz - Renewable and Sustainable Energy …, 2025 - Elsevier
This study offers a comprehensive survey of generation capacity planning from a reliability
perspective, considering the influence of renewable resources and energy storage systems …

Enhancing photovoltaic farm capacity estimation: A comprehensive analysis with a novel approach

SH Hosseini Dolatabadi, A Soleimani… - Energy …, 2024 - Wiley Online Library
This research paper addresses the inaccuracies in the current methods for estimating the
capacity value of photovoltaic (PV) plants, which rely heavily on large‐scale data and fail to …

Research progress and prospects of machine learning applications in renewable energy: a comprehensive bibliometric-based review

XP Wang, Y Shen, C Su - International Journal of Environmental Science …, 2024 - Springer
The stability of power system operations is being challenged by the rapid development of
renewable energy. A viable solution is to achieve accurate renewable energy forecasting. In …

An interpretable horizontal federated deep learning approach to improve short-term solar irradiance forecasting

Z **ao, B Gao, X Huang, Z Chen, C Li, Y Tai - Journal of Cleaner …, 2024 - Elsevier
Solar irradiance forecasting is critical in the planning and operation of solar power plants for
production scheduling, energy trading, and maintenance planning. Accurate solar irradiance …