Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Advanced Methods for Photovoltaic Output Power Forecasting: A Review
A. Mellit, Alessandro Pavan, Emanuèle Ogliari, et al.
Applied Sciences (2020) Vol. 10, Iss. 2, pp. 487-487
Open Access | Times Cited: 247

Showing 1-25 of 247 citing articles:

Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, et al.
International Journal of Forecasting (2022) Vol. 38, Iss. 3, pp. 705-871
Open Access | Times Cited: 545
Deep learning neural networks for short-term photovoltaic power forecasting
A. Mellit, Alessandro Pavan, Vanni Lughi
Renewable Energy (2021) Vol. 172, pp. 276-288
Closed Access | Times Cited: 228
A review and taxonomy of wind and solar energy forecasting methods based on deep learning
Ghadah Alkhayat, Rashid Mehmood
Energy and AI (2021) Vol. 4, pp. 100060-100060
Open Access | Times Cited: 204
A Survey of Machine Learning Models in Renewable Energy Predictions
Jung-Pin Lai, Yu-Ming Chang, Chieh-Huang Chen, et al.
Applied Sciences (2020) Vol. 10, Iss. 17, pp. 5975-5975
Open Access | Times Cited: 153
Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects
Mohamed Massaoudi, Haitham Abu‐Rub, Shady S. Refaat, et al.
IEEE Access (2021) Vol. 9, pp. 54558-54578
Open Access | Times Cited: 132
Solar Photovoltaic Power Forecasting: A Review
Kelachukwu J. Iheanetu
Sustainability (2022) Vol. 14, Iss. 24, pp. 17005-17005
Open Access | Times Cited: 89
Accurate solar PV power prediction interval method based on frequency-domain decomposition and LSTM model
Lining Wang, Mingxuan Mao, Jili Xie, et al.
Energy (2022) Vol. 262, pp. 125592-125592
Closed Access | Times Cited: 83
Trends and gaps in photovoltaic power forecasting with machine learning
Alba Alcañiz, Daniel Grzebyk, Hesan Ziar, et al.
Energy Reports (2022) Vol. 9, pp. 447-471
Open Access | Times Cited: 74
A comprehensive review on sustainable energy management systems for optimal operation of future-generation of solar microgrids
Salwan Tajjour, Shyam Singh Chandel
Sustainable Energy Technologies and Assessments (2023) Vol. 58, pp. 103377-103377
Closed Access | Times Cited: 68
ARIMA Models in Solar Radiation Forecasting in Different Geographic Locations
Ewa Chodakowska, Joanicjusz Nazarko, Łukasz Nazarko, et al.
Energies (2023) Vol. 16, Iss. 13, pp. 5029-5029
Open Access | Times Cited: 46
What is Artificial Intelligence?
Aslı Göde, Adnan Kalkan
Özgür Yayınları eBooks (2023)
Open Access | Times Cited: 45
A Comprehensive Review on Ensemble Solar Power Forecasting Algorithms
Negar Rahimi, Sejun Park, Wonseok Choi, et al.
Journal of Electrical Engineering and Technology (2023) Vol. 18, Iss. 2, pp. 719-733
Open Access | Times Cited: 42
A novel method based on time series ensemble model for hourly photovoltaic power prediction
Zenan Xiao, Xiaoqiao Huang, Jun Liu, et al.
Energy (2023) Vol. 276, pp. 127542-127542
Closed Access | Times Cited: 42
A hybrid deep learning model with an optimal strategy based on improved VMD and transformer for short-term photovoltaic power forecasting
Xinyu Wang, Wenping Ma
Energy (2024) Vol. 295, pp. 131071-131071
Closed Access | Times Cited: 24
Machine Learning-Based Forecasting of Temperature and Solar Irradiance for Photovoltaic Systems
Wassila Tercha, Sid Ahmed Tadjer, Fathia Chekired, et al.
Energies (2024) Vol. 17, Iss. 5, pp. 1124-1124
Open Access | Times Cited: 18
Deep learning in electrical utility industry: A comprehensive review of a decade of research
Manohar Mishra, Janmenjoy Nayak, Bighnaraj Naik, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 96, pp. 104000-104000
Closed Access | Times Cited: 93
A State-of-Art-Review on Machine-Learning Based Methods for PV
Giuseppe Marco Tina, Cristina Ventura, Sergio Ferlito, et al.
Applied Sciences (2021) Vol. 11, Iss. 16, pp. 7550-7550
Open Access | Times Cited: 76
Evaluating neural network and linear regression photovoltaic power forecasting models based on different input methods
Mutaz AlShafeey, Csaba Csáki
Energy Reports (2021) Vol. 7, pp. 7601-7614
Open Access | Times Cited: 76
Models for Short-Term Wind Power Forecasting Based on Improved Artificial Neural Network Using Particle Swarm Optimization and Genetic Algorithms
Dinh Thanh Viet, Vo Van Phuong, Minh Quan Duong, et al.
Energies (2020) Vol. 13, Iss. 11, pp. 2873-2873
Open Access | Times Cited: 70
Short-term solar power forecasting: Investigating the ability of deep learning models to capture low-level utility-scale Photovoltaic system behaviour
Armand A. du Plessis, J.M. Strauss, Arnold Rix
Applied Energy (2021) Vol. 285, pp. 116395-116395
Closed Access | Times Cited: 63
Completed Review of Various Solar Power Forecasting Techniques Considering Different Viewpoints
Yuan‐Kang Wu, Cheng‐Liang Huang, Quoc‐Thang Phan, et al.
Energies (2022) Vol. 15, Iss. 9, pp. 3320-3320
Open Access | Times Cited: 58
Computationally expedient Photovoltaic power Forecasting: A LSTM ensemble method augmented with adaptive weighting and data segmentation technique
Razin Ahmed, Victor Sreeram, Roberto Togneri, et al.
Energy Conversion and Management (2022) Vol. 258, pp. 115563-115563
Closed Access | Times Cited: 55
An artificial intelligence-based solar radiation prophesy model for green energy utilization in energy management system
Fawaz Alassery, Ahmed Alzahrani, Asif Irshad Khan, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 52, pp. 102060-102060
Closed Access | Times Cited: 52
An Integrated Missing-Data Tolerant Model for Probabilistic PV Power Generation Forecasting
Qiaoqiao Li, Yan Xu, Benjamin Si Hao Chew, et al.
IEEE Transactions on Power Systems (2022) Vol. 37, Iss. 6, pp. 4447-4459
Closed Access | Times Cited: 49
Machine learning based demand response scheme for IoT enabled PV integrated smart building
P. Balakumar, Vinopraba Thirumavalavan, K. Chandrasekaran
Sustainable Cities and Society (2022) Vol. 89, pp. 104260-104260
Closed Access | Times Cited: 48
Page 1 - Next Page

Scroll to top