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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:

Deep attention ConvLSTM-based adaptive fusion of clear-sky physical prior knowledge and multivariable historical information for probabilistic prediction of photovoltaic power
Mingliang Bai, Yunxiao Chen, Xinyu Zhao, et al.
Expert Systems with Applications (2022) Vol. 202, pp. 117335-117335
Closed Access | Times Cited: 21

Showing 21 citing articles:

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: 42
A comprehensive evaluation of wind-PV-salt cavern-hydrogen energy storage and utilization system: A case study in Qianjiang salt cavern, China
Fei Wu, Renbo Gao, Cunbao Li, et al.
Energy Conversion and Management (2023) Vol. 277, pp. 116633-116633
Closed Access | Times Cited: 38
Spatial-temporal characteristics analysis of solar irradiance forecast errors in Europe and North America
Mingliang Bai, Peng Yao, Haiyu Dong, et al.
Energy (2024) Vol. 297, pp. 131187-131187
Closed Access | Times Cited: 8
De-Trend First, Attend Next: A Mid-Term PV forecasting system with attention mechanism and encoder–decoder structure
Yunbo Niu, Jianzhou Wang, Ziyuan Zhang, et al.
Applied Energy (2023) Vol. 353, pp. 122169-122169
Closed Access | Times Cited: 16
Short-term wind power prediction framework using numerical weather predictions and residual convolutional long short-term memory attention network
Chenlei Xie, Xuelei Yang, Tao Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108543-108543
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
A method for accurate prediction of photovoltaic power based on multi-objective optimization and data integration strategy
Guohui Li, Xuan Wei, Hong Yang
Applied Mathematical Modelling (2024) Vol. 136, pp. 115643-115643
Closed Access | Times Cited: 5
Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources
Adam Krechowicz, Maria Krechowicz, Katarzyna Poczęta
Energies (2022) Vol. 15, Iss. 23, pp. 9146-9146
Open Access | Times Cited: 26
Deep graph gated recurrent unit network-based spatial–temporal multi-task learning for intelligent information fusion of multiple sites with application in short-term spatial–temporal probabilistic forecast of photovoltaic power
Mingliang Bai, Z. C. Zhou, Jingjing Li, et al.
Expert Systems with Applications (2023) Vol. 240, pp. 122072-122072
Closed Access | Times Cited: 14
Multivariable space-time correction for wind speed in numerical weather prediction (NWP) based on ConvLSTM and the prediction of probability interval
Yunxiao Chen, Mingliang Bai, Yilan Zhang, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 3, pp. 1953-1974
Closed Access | Times Cited: 12
A Novel Convolutional Neural Net Architecture Based on Incorporating Meteorological Variable Inputs into Ultra-Short-Term Photovoltaic Power Forecasting
Xiaoying Ren, Fei Zhang, Junshuai Yan, et al.
Sustainability (2024) Vol. 16, Iss. 7, pp. 2786-2786
Open Access | Times Cited: 4
Improving ultra-short-term photovoltaic power forecasting using advanced deep-learning approach
Zhongyuan Su, Shengyan Gu, Jun Wang, et al.
Measurement (2024) Vol. 239, pp. 115405-115405
Closed Access | Times Cited: 4
Data generation scheme for photovoltaic power forecasting using Wasserstein GAN with gradient penalty combined with autoencoder and regression models
Sungwoo Park, Jaeuk Moon, Eenjun Hwang
Expert Systems with Applications (2024) Vol. 257, pp. 125012-125012
Closed Access | Times Cited: 4
Proactively selection of input variables based on information gain factors for deep learning models in short-term solar irradiance forecasting
Yunxiao Chen, Mingliang Bai, Yilan Zhang, et al.
Energy (2023) Vol. 284, pp. 129261-129261
Closed Access | Times Cited: 10
Application of three Transformer neural networks for short-term photovoltaic power prediction: A case study
Jiahao Wu, Yongkai Zhao, Ruihan Zhang, et al.
Solar Compass (2024) Vol. 12, pp. 100089-100089
Open Access | Times Cited: 3
Dual-branch deep learning architecture for enhanced hourly global horizontal irradiance forecasting
Zhijie Wang, Yugui Tang, Zhen Zhang
Expert Systems with Applications (2024) Vol. 252, pp. 124115-124115
Closed Access | Times Cited: 2
Photovoltaic power estimation and forecast models integrating physics and machine learning: A review on hybrid techniques
Letícia de Oliveira Santos, Tarek AlSkaif, Giovanni Cordeiro Barroso, et al.
Solar Energy (2024) Vol. 284, pp. 113044-113044
Open Access
Short-term photovoltaic power prediction based on fractional Levy stable motion
Hongqing Zheng, Wanqing Song, Wei Cheng, et al.
Energy Exploration & Exploitation (2023) Vol. 42, Iss. 3, pp. 1115-1130
Open Access | Times Cited: 1
Multi-source Data Fusion Based on Wavelet Decomposition and LSTM for Distributed Photovoltaic Power Prediction
Qinqin Ding, Feng Yan, Weiwei Xia, et al.
(2022)
Closed Access | Times Cited: 2
Classification Method of Photovoltaic Array Operating State Based on Nonparametric Estimation and 3σ Method
Qiang Tong, Donghui Li, Xin Ren, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 7769-7769
Open Access
Deep attention convolutional neural network-based adaptive multi-source information fusion for accurate short-term photovoltaic power forecast
Mingliang Bai, Yunxiao Chen, Z. C. Zhou, et al.
2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) (2023), pp. 1-5
Closed Access
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