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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:

Research and Application of a Novel Hybrid Model Based on a Deep Neural Network for Electricity Load Forecasting: A Case Study in Australia
Kailai Ni, Jianzhou Wang, Guangyu Tang, et al.
Energies (2019) Vol. 12, Iss. 13, pp. 2467-2467
Open Access | Times Cited: 24

Showing 24 citing articles:

Solar irradiance measurement instrumentation and power solar generation forecasting based on Artificial Neural Networks (ANN): A review of five years research trend
Abdul Rahim Pazikadin, Damhuji Rifai, Kharudin Ali, et al.
The Science of The Total Environment (2020) Vol. 715, pp. 136848-136848
Closed Access | Times Cited: 176
A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model
Lizhen Wu, Kong Chun, Xiaohong Hao, et al.
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-10
Open Access | Times Cited: 147
A Systematic Review of Statistical and Machine Learning Methods for Electrical Power Forecasting with Reported MAPE Score
Eliana Vivas, Héctor Allende‐Cid, Rodrigo Salas
Entropy (2020) Vol. 22, Iss. 12, pp. 1412-1412
Open Access | Times Cited: 97
Interval forecasting system for electricity load based on data pre-processing strategy and multi-objective optimization algorithm
Jianzhou Wang, Linyue Zhang, Zhiwu Li
Applied Energy (2021) Vol. 305, pp. 117911-117911
Closed Access | Times Cited: 54
Electric load prediction based on a novel combined interval forecasting system
Jianzhou Wang, Jialu Gao, Danxiang Wei
Applied Energy (2022) Vol. 322, pp. 119420-119420
Closed Access | Times Cited: 29
Efficient daily electricity demand prediction with hybrid deep-learning multi-algorithm approach
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Energy Conversion and Management (2023) Vol. 297, pp. 117707-117707
Open Access | Times Cited: 18
A wind speed point-interval fuzzy forecasting system based on data decomposition and multiobjective optimizer
Yurui Xia, Jianzhou Wang, Ziyuan Zhang, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112084-112084
Closed Access | Times Cited: 4
Short-term electricity load time series prediction by machine learning model via feature selection and parameter optimization using hybrid cooperation search algorithm
Wen-jing Niu, Zhong-kai Feng, Shushan Li, et al.
Environmental Research Letters (2021) Vol. 16, Iss. 5, pp. 055032-055032
Open Access | Times Cited: 27
Combined framework based on data preprocessing and multi-objective optimizer for electricity load forecasting
Yurui Xia, Jianzhou Wang, Danxiang Wei, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105776-105776
Closed Access | Times Cited: 13
Short Term Solar Power Forecasting Using Deep Neural Networks
Sana Mohsin Babbar, Lau Chee Yong
Lecture notes in networks and systems (2023), pp. 218-232
Closed Access | Times Cited: 7
Combined Interval Prediction Algorithm Based on Optimal Relevancy, Redundancy and Synergy
Jialu Gao, Jianzhou Wang, Danxiang Wei, et al.
Applied Mathematical Modelling (2023) Vol. 123, pp. 566-589
Closed Access | Times Cited: 7
Research and Application of a Novel Hybrid Model Based on a Deep Neural Network Combined with Fuzzy Time Series for Energy Forecasting
Danxiang Wei, Jianzhou Wang, Kailai Ni, et al.
Energies (2019) Vol. 12, Iss. 18, pp. 3588-3588
Open Access | Times Cited: 22
Short‐term electrical load forecasting model based on multi‐dimensional meteorological information spatio‐temporal fusion and optimized variational mode decomposition
Ling Yun Wang, Xiang Zhou, Honglei Xu, et al.
IET Generation Transmission & Distribution (2023) Vol. 17, Iss. 20, pp. 4647-4663
Open Access | Times Cited: 5
Regional Tourism Economic Forecasting Model Based on GM Grey Forecasting Method
Bin Li, Jing Gao
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 8
Short-Term Wind Power Prediction for Wind Farm Clusters Based on SFFS Feature Selection and BLSTM Deep Learning
Xiaosheng Peng, Kai Cheng, Jianxun Lang, et al.
Energies (2021) Vol. 14, Iss. 7, pp. 1894-1894
Open Access | Times Cited: 10
Short-Term Power Load Forecasting in FGSM-Bi-LSTM Networks Based on Empirical Wavelet Transform
Qingchan Liu, Jianing Cao, Jingcheng Zhang, et al.
IEEE Access (2023) Vol. 11, pp. 105057-105068
Open Access | Times Cited: 3
Particle Filter-Based Electricity Load Prediction for Grid-Connected Microgrid Day-Ahead Scheduling
Qiangqiang Cheng, Yiqi Yan, Shichao Liu, et al.
Energies (2020) Vol. 13, Iss. 24, pp. 6489-6489
Open Access | Times Cited: 7
Electrical load forecasting based on the fusion of multi-scale features extracted by using neural ordinary differential equation
Heng Zhou, Qingguo Zhou, Xiaorun Tang, et al.
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Closed Access
Two-stage forecasting of TCN-GRU short-term load considering error compensation and real-time decomposition
Yang Li, Yongsheng Ye, Yanlong Xu, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 6, pp. 5347-5357
Open Access
Construction of Electricity Load Forecasting Model Based on Electricity Data Analysis
Yue He, Zhi Zhang, Yongjuan Chang, et al.
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access
Research on the Influence of Genetic Algorithm Parameters on XGBoost in Load Forecasting
Thanh-Ngoc Tran, Quoc-Bao Nguyen
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 6, pp. 18849-18854
Open Access
Neural Structures to Predict River Stages in Heavily Urbanized Catchments
Annunziata Chiacchiera, Fabio Sai, Andrea Salvetti, et al.
Water (2022) Vol. 14, Iss. 15, pp. 2330-2330
Open Access | Times Cited: 2
Grid Development Stages and Saturation Load Forecasting based on Logistic Model
Peng Li, Chengzhou Wei, Huixuan Li, et al.
2022 International Conference on Artificial Intelligence in Everything (AIE) (2022), pp. 27-31
Closed Access | Times Cited: 2
Short Term Electrical Load Combination Forecasting Model based on Multi-dimensional Meteorological Information Spatio-Temporal Fusion and MPA-VMD
Ling Yun Wang, Xiang Zhou, Honglei Xu, et al.
Authorea (Authorea) (2023)
Open Access
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