Solar Energy-Powered Battery Electric Vehicle charging stations: Current development and future prospect review

KY Yap, HH Chin, JJ Klemeš - Renewable and Sustainable Energy …, 2022 - Elsevier
Solar energy offers the potential to support the battery electric vehicles (BEV) charging
station, which promotes sustainability and low carbon emission. In view of the emerging …

Failures of Photovoltaic modules and their Detection: A Review

MW Akram, G Li, Y Jin, X Chen - Applied Energy, 2022 - Elsevier
Photovoltaic (PV) has emerged as a promising and phenomenal renewable energy
technology in the recent past and the PV market has developed at an exponential rate …

Fault diagnosis of photovoltaic modules using deep neural networks and infrared images under Algerian climatic conditions

N Kellil, A Aissat, A Mellit - Energy, 2023 - Elsevier
The number of decentralized photovoltaic (PV) systems generating electricity has increased
significantly, and its monitoring and maintenance has become a challenge in terms of …

Overview of demand-response services: A review

D Stanelyte, N Radziukyniene, V Radziukynas - Energies, 2022 - mdpi.com
It is essential for the electricity sector to analyze and determine the distribution capacity
throughput and apply new methods aimed at increasing the capacity of the transmission …

Assessment of machine learning and ensemble methods for fault diagnosis of photovoltaic systems

A Mellit, S Kalogirou - Renewable Energy, 2022 - Elsevier
The photovoltaic (PV) array is the most sensible element in PV plants, which is subject to
different type of faults and defects. Thus, to keep these plants working efficiently they should …

Artificial intelligence enabled demand response: Prospects and challenges in smart grid environment

MA Khan, AM Saleh, M Waseem, IA Sajjad - Ieee Access, 2022 - ieeexplore.ieee.org
Demand Response (DR) has gained popularity in recent years as a practical strategy to
increase the sustainability of energy systems while reducing associated costs. Despite this …

A state-of-art-review on machine-learning based methods for PV

GM Tina, C Ventura, S Ferlito, S De Vito - Applied Sciences, 2021 - mdpi.com
In the current era, Artificial Intelligence (AI) is becoming increasingly pervasive with
applications in several applicative fields effectively changing our daily life. In this scenario …

Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review

J Tian, R Ooka, D Lee - Journal of Cleaner Production, 2023 - Elsevier
Solar energy has been rapidly utilized in urban environments owing to its significant
potential to fulfill the energy demand. The precise forecasting of solar energy, including solar …

Education exchange storage protocol: Transformation into decentralized learning platform

U Rahardja, MA Ngadi, R Budiarto, Q Aini… - Frontiers in …, 2021 - frontiersin.org
The current micro-teaching process is readily online, and it is functional anywhere and
anytime ubiquitously. All or most teaching and learning activities are accessible in …

Parameter extraction of photovoltaic models using a memory-based improved gorilla troops optimizer

M Abdel-Basset, D El-Shahat, KM Sallam… - Energy Conversion and …, 2022 - Elsevier
The parameter extraction of the PV model is a challenging issue owing to its multi-model
and nonlinear characteristics. Moreover, these characteristics of the problem render the …