AI in renewable energy: A review of predictive maintenance and energy optimization

A Hamdan, KI Ibekwe, VI Ilojianya, S Sonko… - International Journal of …, 2024 - ijsra.net
In the dynamic landscape of the burgeoning renewable energy sector, optimizing energy
output, ensuring robust infrastructure maintenance, and seamless integration into the grid …

Renewable energy technologies in engineering: A review of current developments and future prospects

ZQS Nwokediegwu, KI Ibekwe, VI Ilojianya… - Engineering Science & …, 2024 - fepbl.com
This comprehensive review examines the current state of renewable energy technologies
within the field of engineering, analyzing recent developments and outlining future …

Bibliometric Analysis of Renewable Energy Research on the Example of the Two European Countries: Insights, Challenges, and Future Prospects

P Kut, K Pietrucha-Urbanik - Energies, 2023 - mdpi.com
Renewable energy sources, encompassing wind, solar, hydro, and geothermal options, are
assuming an increasingly crucial role in the global energy landscape. They present a …

Energy efficiency in industrial sectors: A review of technologies and policy measures

KI Ibekwe, AA Umoh, ZQS Nwokediegwu… - Engineering Science & …, 2024 - fepbl.com
The industrial sector plays a pivotal role in global economic development, but its energy
consumption often leads to environmental challenges. This paper provides a …

Reviewing the role of artificial intelligence in energy efficiency optimization

TM Olatunde, AC Okwandu, DO Akande… - Engineering Science & …, 2024 - fepbl.com
Artificial intelligence (AI) is revolutionizing the field of energy efficiency optimization by
enabling advanced analysis and control of energy systems. This review provides a concise …

Cloud Computing and Machine Learning in the Green Power Sector: Data Management and Analysis for Sustainable Energy

S Tirlangi, S Teotia, G Padmapriya… - … Intelligent Systems for …, 2024 - igi-global.com
The green power sector is revolutionizing energy production, grid management, and
sustainability by integrating cloud computing and machine learning techniques. This chapter …

Tools, techniques, and trends in sustainable software engineering: A critical review of current practices and future directions

A Atadoga, UJ Umoga, OA Lottu… - World Journal of Advanced …, 2024 - wjaets.com
The quest for sustainability has extended its reach into the realm of software engineering,
prompting an exploration of tools, techniques, and emerging trends to mitigate the …

SolarFlux Predictor: A Novel Deep Learning Approach for Photovoltaic Power Forecasting in South Korea

H Min, S Hong, J Song, B Son, B Noh, J Moon - Electronics, 2024 - mdpi.com
We present SolarFlux Predictor, a novel deep-learning model designed to revolutionize
photovoltaic (PV) power forecasting in South Korea. This model uses a self-attention-based …

Harnessing a better future: exploring AI and ML applications in renewable energy

TH Nguyen, P Paramasivam, HC Le… - JOIV: International Journal …, 2024 - joiv.org
Integrating machine learning (ML) and artificial intelligence (AI) with renewable energy
sources, including biomass, biofuels, engines, and solar power, can revolutionize the …

Harnessing Artificial Intelligence for Advancing Sustainable Development Goals in South Africa's Higher Education System: A Qualitative Study

OAG Opesemowo, V Adekomaya - International Journal of Learning …, 2024 - ijlter.myres.net
Artificial intelligence (AI) presents opportunities in transforming higher education system and
contribute significantly to achieving Sustainable Development Goals (SDGs). This study …