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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:

Stacking Ensemble Method with the RNN Meta-Learner for Short-Term PV Power Forecasting
Andi Abdul Halik Lateko, Hong‐Tzer Yang, Chao‐Ming Huang, et al.
Energies (2021) Vol. 14, Iss. 16, pp. 4733-4733
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Photovoltaic power forecasting: A hybrid deep learning model incorporating transfer learning strategy
Yugui Tang, Kuo Yang, Shujing Zhang, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 162, pp. 112473-112473
Closed Access | Times Cited: 88
Short-term photovoltaic power forecasting using meta-learning and numerical weather prediction independent Long Short-Term Memory models
Elissaios Sarmas, Evangelos Spiliotis, Efstathios Stamatopoulos, et al.
Renewable Energy (2023) Vol. 216, pp. 118997-118997
Open Access | Times Cited: 66
A novel learning approach for short-term photovoltaic power forecasting - A review and case studies
Khaled Ferkous, Mawloud Guermoui, Sarra Menakh, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108502-108502
Closed Access | Times Cited: 23
Forecasting Photovoltaic Power Generation with a Stacking Ensemble Model
Abdallah Abdellatif, Hamza Mubarak, Shameem Ahmad, et al.
Sustainability (2022) Vol. 14, Iss. 17, pp. 11083-11083
Open Access | Times Cited: 59
Multi-objective optimization designs of phase change material-enhanced building using the integration of the Stacking model and NSGA-III algorithm
Haibin Yang, Ziqing Xu, Yuan Shi, et al.
Journal of Energy Storage (2023) Vol. 68, pp. 107807-107807
Open Access | Times Cited: 23
Forecasting Solar Photovoltaic Power Production: A Comprehensive Review and Innovative Data-Driven Modeling Framework
Sameer Al‐Dahidi, Manoharan Madhiarasan, Loiy Al‐Ghussain, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 4145-4145
Open Access | Times Cited: 14
A cross-sectional survey of deterministic PV power forecasting: Progress and limitations in current approaches
Andreea Săbăduş, Robert Blaga, Sergiu-Mihai Hategan, et al.
Renewable Energy (2024) Vol. 226, pp. 120385-120385
Closed Access | Times Cited: 13
A Solar and Wind Energy Evaluation Methodology Using Artificial Intelligence Technologies
Владимир Сергеевич Симанков, Pavel Yu. Buchatskiy, Anatoliy Kazak, et al.
Energies (2024) Vol. 17, Iss. 2, pp. 416-416
Open Access | Times Cited: 12
Towards energy efficiency: A comprehensive review of deep learning-based photovoltaic power forecasting strategies
Mauladdawilah Husein, Eulalia Jadraque Gago, Balfaqih Hasan, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33419-e33419
Open Access | Times Cited: 8
Short-Term PV Power Forecasting Using a Regression-Based Ensemble Method
Andi Abdul Halik Lateko, Hong‐Tzer Yang, Chao‐Ming Huang
Energies (2022) Vol. 15, Iss. 11, pp. 4171-4171
Open Access | Times Cited: 32
Unsupervised domain adaptation methods for photovoltaic power forecasting
Loukas Ilias, Elissaios Sarmas, Vangelis Marinakis, et al.
Applied Soft Computing (2023) Vol. 149, pp. 110979-110979
Open Access | Times Cited: 19
A Review of State-of-the-Art and Short-Term Forecasting Models for Solar PV Power Generation
Wen-Chang Tsai, Chia-Sheng Tu, Chih-Ming Hong, et al.
Energies (2023) Vol. 16, Iss. 14, pp. 5436-5436
Open Access | Times Cited: 15
Photovoltaic power forecasting based on VMD-SSA-Transformer: Multidimensional analysis of dataset length, weather mutation and forecast accuracy
Chao Zhai, Xinyi He, Zhixiang Cao, et al.
Energy (2025), pp. 135971-135971
Closed Access
A Review of State-of-the-art and Short-Term Forecasting Models for Solar PV Power Generation
Wen-Chang Tsai, Chia-Sheng Tu, Chih-Ming Hong, et al.
(2023)
Open Access | Times Cited: 12
Deep Learning Models for Short-Term Forecasting of Photovoltaic Energy Production
Elissaios Sarmas, Vangelis Marinakis, Haris Doukas
Learning and analytics in intelligent systems (2025), pp. 87-127
Closed Access
One-Day-Ahead Hourly Wind Power Forecasting Using Optimized Ensemble Prediction Methods
Chao‐Ming Huang, Shin‐Ju Chen, Sung‐Pei Yang, et al.
Energies (2023) Vol. 16, Iss. 6, pp. 2688-2688
Open Access | Times Cited: 9
A structural depth network embedding stacking model based on Moran’s index and seasonal trend for short-term solar irradiance prediction
Zhijian Qu, Ting Li, Xinxing Hou, et al.
Energy Conversion and Management (2024) Vol. 308, pp. 118397-118397
Closed Access | Times Cited: 3
Reservoir Production Prediction Model Based on a Stacked LSTM Network and Transfer Learning
Yukun Dong, Yu Zhang, Fubin Liu, et al.
ACS Omega (2021) Vol. 6, Iss. 50, pp. 34700-34711
Open Access | Times Cited: 19
A Parameter Estimation Method for a Photovoltaic Power Generation System Based on a Two-Diode Model
Chao‐Ming Huang, Shin‐Ju Chen, Sung‐Pei Yang
Energies (2022) Vol. 15, Iss. 4, pp. 1460-1460
Open Access | Times Cited: 11
Comparing Various Combined Techniques at Seasonal Autoregressive Integrated Moving Average (SARIMA) for Electrical Load Forecasting
Mega Silfiani, Happy Aprillia, Yustina Fitriani
(2023) Vol. 103, pp. 376-381
Closed Access | Times Cited: 5
Time Series Analysis and Forecasting of Solar Generation in Spain Using eXtreme Gradient Boosting: A Machine Learning Approach
Candra Saigustia, Paweł Pijarski
Energies (2023) Vol. 16, Iss. 22, pp. 7618-7618
Open Access | Times Cited: 5
Fuzzy Ensemble Algorithm for Day-ahead Photovoltaic Power Forecasting
Juan Carlos Córtez, Jose A. Cumbicos, Lucas Zenichi Terada, et al.
2022 International Conference on Smart Energy Systems and Technologies (SEST) (2024), pp. 1-6
Closed Access | Times Cited: 1
Short-Term Load Forecasting with an Ensemble Model Based on 1D-UCNN and Bi-LSTM
Wenhao Chen, Guangjie Han, Hongbo Zhu, et al.
Electronics (2022) Vol. 11, Iss. 19, pp. 3242-3242
Open Access | Times Cited: 6
Short-Term Load Forecasting with an Ensemble Model Using Densely Residual Block and Bi-LSTM Based on the Attention Mechanism
Wenhao Chen, Guangjie Han, Hongbo Zhu, et al.
Sustainability (2022) Vol. 14, Iss. 24, pp. 16433-16433
Open Access | Times Cited: 3
Forecasting of Solar Photovoltaic Output Energy using LSTM Machine Learning Algorithm
Md. Badrul Ahsan Tamal, Md. Ahsanul Alam, Md. Nayem Sharker, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 3
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