[HTML][HTML] Comparison of machine learning methods for photovoltaic power forecasting based on numerical weather prediction
D Markovics, MJ Mayer - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The increase of the worldwide installed photovoltaic (PV) capacity and the intermittent
nature of the solar resource highlights the importance of power forecasting for the grid …
nature of the solar resource highlights the importance of power forecasting for the grid …
Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities
The energy industry is at a crossroads. Digital technological developments have the
potential to change our energy supply, trade, and consumption dramatically. The new …
potential to change our energy supply, trade, and consumption dramatically. The new …
CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production
Climate change is pushing an increasing number of nations to use green energy resources,
particularly solar power as an applicable substitute to traditional power sources. However …
particularly solar power as an applicable substitute to traditional power sources. However …
Roles of artificial intelligence in construction engineering and management: A critical review and future trends
With the extensive adoption of artificial intelligence (AI), construction engineering and
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …
[HTML][HTML] Future prospects of computer-aided design (CAD)–A review from the perspective of artificial intelligence (AI), extended reality, and 3D printing
Computer-aided design (CAD) is the use of computer-based software to aid in design
modeling, design analysis, design review, and design documentation. Nevertheless, the …
modeling, design analysis, design review, and design documentation. Nevertheless, the …
Solar photovoltaic power forecasting: A review
KJ Iheanetu - Sustainability, 2022 - mdpi.com
The recent global warming effect has brought into focus different solutions for combating
climate change. The generation of climate-friendly renewable energy alternatives has been …
climate change. The generation of climate-friendly renewable energy alternatives has been …
[HTML][HTML] AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications
AB Rashid, AK Kausik - Hybrid Advances, 2024 - Elsevier
Artificial Intelligence (AI) technology's rapid advancement has significantly changed various
industries' operations. This comprehensive review paper aims to provide readers with a …
industries' operations. This comprehensive review paper aims to provide readers with a …
An overview of artificial intelligence applications for power electronics
This article gives an overview of the artificial intelligence (AI) applications for power
electronic systems. The three distinctive life-cycle phases, design, control, and maintenance …
electronic systems. The three distinctive life-cycle phases, design, control, and maintenance …
[HTML][HTML] Methods of photovoltaic fault detection and classification: A review
YY Hong, RA Pula - Energy Reports, 2022 - Elsevier
Photovoltaic (PV) fault detection and classification are essential in maintaining the reliability
of the PV system (PVS). Various faults may occur in either DC or AC side of the PVS. The …
of the PV system (PVS). Various faults may occur in either DC or AC side of the PVS. The …
Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities
Abstract The Architecture, Engineering and Construction (AEC) industry is fraught with
complex and difficult problems. Artificial intelligence (AI) represents a powerful tool to assist …
complex and difficult problems. Artificial intelligence (AI) represents a powerful tool to assist …