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OpenAlex Citation Counts

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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:

A novel photovoltaic power forecasting model based on echo state network
Xianshuang Yao, Zhanshan Wang, Huaguang Zhang
Neurocomputing (2018) Vol. 325, pp. 182-189
Closed Access | Times Cited: 62

Showing 26-50 of 62 citing articles:

Collaborative decision-making model for capacity allocation of photovoltaics energy storage system under Energy Internet in China
Yin Yu, Jicheng Liu
Journal of Energy Storage (2023) Vol. 66, pp. 107456-107456
Closed Access | Times Cited: 12
Photovoltaic generation forecasting using convolutional and recurrent neural networks
Amirhossein Babalhavaeji, Mohammadreza Radmanesh, Mahdi Jalili, et al.
Energy Reports (2023) Vol. 9, pp. 119-123
Open Access | Times Cited: 12
Novel diversified echo state network for improved accuracy and explainability of EEG-based stroke prediction
Samar Bouazizi, Hela Ltifi
Information Systems (2023) Vol. 120, pp. 102317-102317
Closed Access | Times Cited: 9
Spatio-temporal modeling with enhanced flexibility and robustness of solar irradiance prediction: A chain-structure echo state network approach
Qian Li, Zhou Wu, Haijun Zhang
Journal of Cleaner Production (2020) Vol. 261, pp. 121151-121151
Closed Access | Times Cited: 25
A hybrid ensembled double-input-fuzzy-modules based precise prediction of PV power generation
Hualu Zhang, Jie Shi, Chunping Zhang
Energy Reports (2022) Vol. 8, pp. 1610-1621
Open Access | Times Cited: 15
A novel method for day-ahead solar power prediction based on hidden Markov model and cosine similarity
Khatereh Ghasvarian Jahromi, Davood Gharavian, Hamidreza Mahdiani
Soft Computing (2019) Vol. 24, Iss. 7, pp. 4991-5004
Closed Access | Times Cited: 25
Key Operational Issues on the Integration of Large-Scale Solar Power Generation—A Literature Review
Wei Li, Hui Ren, Ping Chen, et al.
Energies (2020) Vol. 13, Iss. 22, pp. 5951-5951
Open Access | Times Cited: 22
Daily Photovoltaic Power Prediction Enhanced by Hybrid GWO-MLP, ALO-MLP and WOA-MLP Models Using Meteorological Information
Medine Çolak, Mehmet Yeşilbudak, Ramazan Bayındır
Energies (2020) Vol. 13, Iss. 4, pp. 901-901
Open Access | Times Cited: 21
DSPM: Dual sequence prediction model for efficient energy management in micro-grid
Zulfiqar Ahmad Khan, S. A. Khan, Tanveer Hussain, et al.
Applied Energy (2023) Vol. 356, pp. 122339-122339
Closed Access | Times Cited: 7
Direct adaptive control for nonlinear systems using a TSK fuzzy echo state network based on fractional-order learning algorithm
Tarek A. Mahmoud, Mohamed I. Abdo, Emad A. Elsheikh, et al.
Journal of the Franklin Institute (2021) Vol. 358, Iss. 17, pp. 9034-9060
Closed Access | Times Cited: 17
Survey on Deep Fuzzy Systems in Regression Applications: A View on Interpretability
Jorge S. S. Júnior, Jérôme Mendes, Francisco Souza, et al.
International Journal of Fuzzy Systems (2023) Vol. 25, Iss. 7, pp. 2568-2589
Open Access | Times Cited: 6
Swarm Decomposition Technique Based Hybrid Model for Very Short-Term Solar PV Power Generation Forecast
Emrah Dokur
Elektronika ir Elektrotechnika (2020) Vol. 26, Iss. 3, pp. 79-83
Open Access | Times Cited: 16
Personalized PV system recommendation for enhanced solar energy harvesting using deep learning and collaborative filtering
Mourad Jbene, Rachid Saadane, Smail Tigani, et al.
Sustainable Energy Technologies and Assessments (2023) Vol. 60, pp. 103563-103563
Closed Access | Times Cited: 5
Computational Modeling of Structural Synaptic Plasticity in Echo State Networks
Xinjie Wang, Yaochu Jin, Kuangrong Hao
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 10, pp. 11254-11266
Closed Access | Times Cited: 13
Error-Driven Chained Multiple-Subnetwork Echo State Network for Time-Series Prediction
Jian Huang, Yiran Li, Yuri A.W. Shardt, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 20, pp. 19533-19542
Closed Access | Times Cited: 9
Decomposition-Based Multi-Step Forecasting Model for the Environmental Variables of Rabbit Houses
Ronghua Ji, Shanyi Shi, Liu Zhong-ying, et al.
Animals (2023) Vol. 13, Iss. 3, pp. 546-546
Open Access | Times Cited: 5
Advances in Short-Term Solar Forecasting: A Review and Benchmark of Machine Learning Methods and Relevant Data Sources
Franko Pandžić, Tomislav Capuder
Energies (2023) Vol. 17, Iss. 1, pp. 97-97
Open Access | Times Cited: 5
Attention enhanced dual stream network with advanced feature selection for power forecasting
Taimoor Khan, Chang Jae Choi
Applied Energy (2024) Vol. 377, pp. 124564-124564
Closed Access | Times Cited: 1
Fault diagnosis model based on Granular Computing and Echo State Network
Cheng Lü, Peng Xu, Linhu Cong
Engineering Applications of Artificial Intelligence (2020) Vol. 94, pp. 103694-103694
Closed Access | Times Cited: 11
A Multiswitch Open-Circuit Fault Diagnosis of Microgrid Inverter Based on Slidable Triangularization Processing
Zhanjun Huang, Zhanshan Wang
IEEE Transactions on Power Electronics (2020) Vol. 36, Iss. 1, pp. 922-930
Closed Access | Times Cited: 10
Deep Convolutional Graph Rough Variational Auto-Encoder for Short-Term Photovoltaic Power Forecasting
Mohsen Saffari, Mahdi Khodayar, Seyed Mohammad Jafar Jalali, et al.
2022 International Conference on Smart Energy Systems and Technologies (SEST) (2021), pp. 1-6
Closed Access | Times Cited: 10
DHESN: A deep hierarchical echo state network approach for algal bloom prediction
Bo Hu, Huiyan Zhang, Xiaoyi Wang, et al.
Expert Systems with Applications (2023) Vol. 239, pp. 122329-122329
Closed Access | Times Cited: 3
Novel Gray Orthogonal Echo State Network Integrating the Process Mechanism for Dynamic Soft Sensor Development
Bailun Zhang, Yongming Han, Chengfei Li, et al.
Industrial & Engineering Chemistry Research (2021) Vol. 60, Iss. 41, pp. 14955-14967
Closed Access | Times Cited: 7
An Overview on the Application of Machine Learning and Deep Learning for Photovoltaic Output Power Forecasting
A. Mellit
Lecture notes in electrical engineering (2020), pp. 55-68
Closed Access | Times Cited: 6
Generalization of solar power yield modeling using knowledge transfer
Hanmin Sheng, Biplob Ray, Jinliang Shao, et al.
Expert Systems with Applications (2022) Vol. 201, pp. 116992-116992
Closed Access | Times Cited: 4

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