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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:

Pairing ensemble numerical weather prediction with ensemble physical model chain for probabilistic photovoltaic power forecasting
Martin János Mayer, Dazhi Yang
Renewable and Sustainable Energy Reviews (2023) Vol. 175, pp. 113171-113171
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Improved informer PV power short-term prediction model based on weather typing and AHA-VMD-MPE
Shuhui Cui, Shouping Lyu, Yongzhi Ma, et al.
Energy (2024) Vol. 307, pp. 132766-132766
Closed Access | Times Cited: 42
Probabilistic day-ahead prediction of PV generation. A comparative analysis of forecasting methodologies and of the factors influencing accuracy
Luca Massidda, Fabio Bettio, Marino Marrocu
Solar Energy (2024) Vol. 271, pp. 112422-112422
Closed Access | Times Cited: 23
Short-term photovoltaic power forecasting with feature extraction and attention mechanisms
Wen‐Cheng Liu, Zhizhong Mao
Renewable Energy (2024) Vol. 226, pp. 120437-120437
Closed Access | Times Cited: 20
Short-term PV power prediction based on meteorological similarity days and SSA-BiLSTM
Yikang Li, Wei Huang, Keying Lou, et al.
Systems and Soft Computing (2024) Vol. 6, pp. 200084-200084
Open Access | Times Cited: 16
A Tutorial Review of the Solar Power Curve: Regressions, Model Chains, and Their Hybridization and Probabilistic Extensions
Dazhi Yang, Xiangao Xia, Martin János Mayer
Advances in Atmospheric Sciences (2024) Vol. 41, Iss. 6, pp. 1023-1067
Open Access | Times Cited: 14
TFEformer: A new temporal frequency ensemble transformer for day-ahead photovoltaic power prediction
Chengming Yu, Ji Qiao, Chao Chen, et al.
Journal of Cleaner Production (2024) Vol. 448, pp. 141690-141690
Closed Access | Times Cited: 13
Ultra-short-term photovoltaic power prediction based on similar day clustering and temporal convolutional network with bidirectional long short-term memory model: A case study using DKASC data
Mingyue Zhang, Zhi Yang, Chaoyang Wang, et al.
Applied Energy (2024) Vol. 375, pp. 124085-124085
Closed Access | Times Cited: 10
A unified new-information-based accumulating generation operator based on feature decoupling for multi-characteristic time series forecasting
Song Ding, Zhijian Cai, Juntao Ye, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111310-111310
Closed Access | Times Cited: 8
A novel seasonal grey prediction model with time-lag and interactive effects for forecasting the photovoltaic power generation
Junjie Wang, Li Ye, Xiaoyu Ding, et al.
Energy (2024) Vol. 304, pp. 131939-131939
Closed Access | Times Cited: 8
Embedding the weather prediction errors (WPE) into the photovoltaic (PV) forecasting method using deep learning
Adela Bârã, Simona‐Vasilica Oprea
Journal of Forecasting (2024) Vol. 43, Iss. 5, pp. 1173-1198
Closed Access | Times Cited: 7
Revving up energy autonomy: A forecast-driven framework for reducing reverse power flow in microgrids
Elissaios Sarmas, Evangelos Spiliotis, Vangelis Marinakis, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101376-101376
Open Access | Times Cited: 7
Resource efficient PV power forecasting: Transductive transfer learning based hybrid deep learning model for smart grid in Industry 5.0
Umer Amir Khan, Noman Mujeeb Khan, Muhammad Hamza Zafar
Energy Conversion and Management X (2023) Vol. 20, pp. 100486-100486
Open Access | Times Cited: 19
Day-ahead photovoltaic power forecasting using hybrid K-Means++ and improved deep neural network
Xiaoyang Lu
Measurement (2023) Vol. 220, pp. 113208-113208
Closed Access | Times Cited: 18
Non-crossing Quantile Regression Neural Network as a Calibration Tool for Ensemble Weather Forecasts
Mengmeng Song, Dazhi Yang, Sebastian Lerch, et al.
Advances in Atmospheric Sciences (2024) Vol. 41, Iss. 7, pp. 1417-1437
Closed Access | Times Cited: 5
A novel bimodal feature fusion network-based deep learning model with intelligent fusion gate mechanism for short-term photovoltaic power point-interval forecasting
Zhi-Feng Liu, Xiaorui Chen, Ya-He Huang, et al.
Energy (2024) Vol. 303, pp. 131947-131947
Closed Access | Times Cited: 5
InfoCAVB-MemoryFormer: Forecasting of wind and photovoltaic power through the interaction of data reconstruction and data augmentation
Mingwei Zhong, J.M. Fan, Jianqiang Luo, et al.
Applied Energy (2024) Vol. 371, pp. 123745-123745
Closed Access | Times Cited: 5
An error-corrected deep Autoformer model via Bayesian optimization algorithm and secondary decomposition for photovoltaic power prediction
Jie Chen, Peng Tian, Shijie Qian, et al.
Applied Energy (2024) Vol. 377, pp. 124738-124738
Closed Access | Times Cited: 5
Short-term output prediction of wind-photovoltaic power based on time-frequency decomposition
Yangfan Zhang, Xuejiao Fu, Yaohan Wang, et al.
Frontiers in Energy Research (2025) Vol. 12
Open Access
Forecasts and Analysis of Economic Outputs for Chinese High-Tech Industries: Insights from Spatial–Temporal Information Fusion
Song Ding, Yi Wang, Xingao Shen
Computational Economics (2025)
Closed Access
A Novel Solar Irradiance Forecasting Method Based on BiLSTM Model of Atmosphere and Clouds
Zhenyu Wang, Chang Liu, Hai Zhou, et al.
Lecture notes in electrical engineering (2025), pp. 17-27
Closed Access
Robust deep learning model with attention framework for spatiotemporal forecasting of solar and wind energy production
Md. Shadman Abid, Razzaqul Ahshan, Mohammed Al‐Abri, et al.
Energy Conversion and Management X (2025), pp. 100919-100919
Open Access
A multi-modal deep clustering method for day-ahead solar irradiance forecasting using ground-based cloud imagery and time series data
Weijing Dou, Kai Wang, Shuo Shan, et al.
Energy (2025), pp. 135285-135285
Closed Access
Probabilistic ultra-short-term solar photovoltaic power forecasting using natural gradient boosting with attention-enhanced neural networks
Zhe Song, Fu Xiao, Zhe Chen, et al.
Energy and AI (2025), pp. 100496-100496
Open Access
Modelling of wind and photovoltaic power output considering dynamic spatio-temporal correlation
Zhongliang Wang, Hongyu Zhu, Dongdong Zhang, et al.
Applied Energy (2023) Vol. 352, pp. 121948-121948
Closed Access | Times Cited: 12
Leveraging machine learning algorithms for improved disaster preparedness and response through accurate weather pattern and natural disaster prediction
Harshita Jain, Renu Dhupper, Anamika Shrivastava, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 11
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