[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 …

Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

T Ahmad, D Zhang, C Huang, H Zhang, N Dai… - Journal of Cleaner …, 2021 - Elsevier
The energy industry is at a crossroads. Digital technological developments have the
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

A Agga, A Abbou, M Labbadi, Y El Houm… - Electric Power Systems …, 2022 - Elsevier
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 …

Roles of artificial intelligence in construction engineering and management: A critical review and future trends

Y Pan, L Zhang - Automation in Construction, 2021 - Elsevier
With the extensive adoption of artificial intelligence (AI), construction engineering and
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …

An overview of artificial intelligence applications for power electronics

S Zhao, F Blaabjerg, H Wang - IEEE Transactions on Power …, 2020 - ieeexplore.ieee.org
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 …

The universal artificial intelligence efforts to face coronavirus COVID-19

M Farouk - International Journal of Computations, Information …, 2021 - journals.gaftim.com
Artificial intelligence (AI) has already changed the world and has made an effective impact in
a range of fields including industry, criminal law, health, national security, transport …

[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 …

Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities

A Darko, APC Chan, MA Adabre, DJ Edwards… - Automation in …, 2020 - Elsevier
Abstract The Architecture, Engineering and Construction (AEC) industry is fraught with
complex and difficult problems. Artificial intelligence (AI) represents a powerful tool to assist …

Application of Artificial Neural Networks to photovoltaic fault detection and diagnosis: A review

B Li, C Delpha, D Diallo, A Migan-Dubois - Renewable and Sustainable …, 2021 - Elsevier
The rapid development of photovoltaic (PV) technology and the growing number and size of
PV power plants require increasingly efficient and intelligent health monitoring strategies to …

[HTML][HTML] Future prospects of computer-aided design (CAD)–A review from the perspective of artificial intelligence (AI), extended reality, and 3D printing

BR Hunde, AD Woldeyohannes - Results in Engineering, 2022 - Elsevier
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 …