OpenAlex Citation Counts

OpenAlex Citations Logo

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 combined model for probabilistic load forecasting based on deep learning and improved optimizer
Dongxue Zhang, Shuai Wang, Yuqiu Liang, et al.
Energy (2022) Vol. 264, pp. 126172-126172
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

CNNs-Transformer based day-ahead probabilistic load forecasting for weekends with limited data availability
Zhirui Tian, Weican Liu, Wenqian Jiang, et al.
Energy (2024) Vol. 293, pp. 130666-130666
Closed Access | Times Cited: 35

Quantile regression based probabilistic forecasting of renewable energy generation and building electrical load: A state of the art review
Chengliang Xu, Yongjun Sun, Anran Du, et al.
Journal of Building Engineering (2023) Vol. 79, pp. 107772-107772
Closed Access | Times Cited: 23

A framework for electricity load forecasting based on attention mechanism time series depthwise separable convolutional neural network
Huifeng Xu, Feihu Hu, Xinhao Liang, et al.
Energy (2024) Vol. 299, pp. 131258-131258
Closed Access | Times Cited: 14

A hybrid prediction interval model for short-term electric load forecast using Holt-Winters and Gate Recurrent Unit
Xin He, Wenlu Zhao, Zhijun Gao, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101343-101343
Closed Access | Times Cited: 11

Short-Term Load Forecasting Based on Optimized Random Forest and Optimal Feature Selection
Bianca Magalhães, Pedro Bento, José Pombo, et al.
Energies (2024) Vol. 17, Iss. 8, pp. 1926-1926
Open Access | Times Cited: 9

Recurrent attention encoder-decoder network for multi-step interval wind power prediction
Xiaoling Ye, Cheng‐Cheng Liu, Xiong Xiong, et al.
Energy (2025), pp. 134317-134317
Closed Access | Times Cited: 1

A hybrid carbon price prediction model based-combinational estimation strategies of quantile regression and long short-term memory
Nijun Jiang, Xiaobing Yu, Manawwer Alam
Journal of Cleaner Production (2023) Vol. 429, pp. 139508-139508
Closed Access | Times Cited: 19

A novel multivariate combined power load forecasting system based on feature selection and multi-objective intelligent optimization
Qianyi Xing, Xiaojia Huang, Jianzhou Wang, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122970-122970
Closed Access | Times Cited: 18

Comparison of electric vehicle load forecasting across different spatial levels with incorporated uncertainty estimation
Waqas Khan, W. E. Somers, Shalika Walker, et al.
Energy (2023) Vol. 283, pp. 129213-129213
Open Access | Times Cited: 17

Enhancing smart grid load forecasting: An attention-based deep learning model integrated with federated learning and XAI for security and interpretability
Md Al Amin Sarker, Bharanidharan Shanmugam, Sami Azam, et al.
Intelligent Systems with Applications (2024) Vol. 23, pp. 200422-200422
Open Access | Times Cited: 8

A Novel Neural Network-Based Multiobjective Evolution Lower Upper Bound Estimation Method for Electricity Load Interval Forecast
Yaoyao He, Jianhua Zhu, Shuo Wang
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 5, pp. 3069-3083
Closed Access | Times Cited: 5

Short-term probabilistic load forecasting method based on uncertainty estimation and deep learning model considering meteorological factors
Bin Li, Y. J. Mo, Feng Gao, et al.
Electric Power Systems Research (2023) Vol. 225, pp. 109804-109804
Closed Access | Times Cited: 11

Wind power interval and point prediction model using neural network based multi-objective optimization
Jianhua Zhu, Yaoyao He, Zhiwei Gao
Energy (2023) Vol. 283, pp. 129079-129079
Closed Access | Times Cited: 10

Probabilistic prediction system based on quantile deep learning model and multi-level information recognition
Linyue Zhang, Jianzhou Wang, J Li, et al.
Expert Systems with Applications (2025) Vol. 272, pp. 126734-126734
Closed Access

A novel probabilistic carbon price prediction model: Integrating the transformer framework with mixed-frequency modeling at different quartiles
Mingyang Ji, Jian Du, Pei Du, et al.
Applied Energy (2025) Vol. 391, pp. 125951-125951
Closed Access

Short-Term Electricity-Load Forecasting by deep learning: A comprehensive survey
Qi Dong, Rubing Huang, Chenhui Cui, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 154, pp. 110980-110980
Closed Access

Probabilistic load forecasting based on quantile regression parallel CNN and BiGRU networks
Yuting Lu, Gaocai Wang, Xianfei Huang, et al.
Applied Intelligence (2024) Vol. 54, Iss. 15-16, pp. 7439-7460
Closed Access | Times Cited: 3

A combined model based on decomposition and reorganization, weight optimization algorithms for carbon price point and interval prediction
Xiaobing Yu, Nijun Jiang, Wen Zhang
Journal of Cleaner Production (2024) Vol. 472, pp. 143445-143445
Closed Access | Times Cited: 3

PredXGBR: A Machine Learning Framework for Short-Term Electrical Load Prediction
Rifat Zabin, Khandaker Foysal Haque, Ahmed Abdelgawad
Electronics (2024) Vol. 13, Iss. 22, pp. 4521-4521
Open Access | Times Cited: 3

Adaptive Resource Allocation in Cloud Data Centers using Actor-Critical Deep Reinforcement Learning for Optimized Load Balancing
M. Arvindhan, Rajesh Kumar Dhanaraj
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 5s, pp. 310-318
Open Access | Times Cited: 7

An optimal wavelet transform grey multivariate convolution model to forecast electricity demand: a novel approach
Flavian Emmanuel Sapnken, Mohammed Hamaidi, Mohammad M. Hamed, et al.
Grey Systems Theory and Application (2023) Vol. 14, Iss. 2, pp. 233-262
Closed Access | Times Cited: 7

Short-term power load forecasting based on SKDR hybrid model
Yongliang Yuan, Qingkang Yang, Jianji Ren, et al.
Electrical Engineering (2024)
Closed Access | Times Cited: 2

Page 1 - Next Page

Scroll to top