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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:

An ensemble forecasting system for short-term power load based on multi-objective optimizer and fuzzy granulation
Jianzhou Wang, Qianyi Xing, Bo Zeng, et al.
Applied Energy (2022) Vol. 327, pp. 120042-120042
Closed Access | Times Cited: 26

Showing 1-25 of 26 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: 28
An improved temporal convolutional network with attention mechanism for photovoltaic generation forecasting
Ziyuan Zhang, Jianzhou Wang, Danxiang Wei, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106273-106273
Closed Access | Times Cited: 25
Residential energy consumption forecasting using deep learning models
Paulo Vitor Barbosa Ramos, Saulo Moraes Villela, Walquiria N. Silva, et al.
Applied Energy (2023) Vol. 350, pp. 121705-121705
Closed Access | Times Cited: 24
An ensemble-based approach for short-term load forecasting for buildings with high proportion of renewable energy sources
Abrar Shahriar Pramanik, Saeed Sepasi, Tung Lam Nguyen, et al.
Energy and Buildings (2024) Vol. 308, pp. 113996-113996
Closed Access | Times Cited: 7
A Multitask Integrated Deep-Learning Probabilistic Prediction for Load Forecasting
Jianzhou Wang, Kang Wang, Zhiwu Li, et al.
IEEE Transactions on Power Systems (2023) Vol. 39, Iss. 1, pp. 1240-1250
Closed Access | Times Cited: 17
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: 17
A short-term power load forecasting system based on data decomposition, deep learning and weighted linear error correction with feedback mechanism
Zhaochen Dong, Zhirui Tian, Shuang Lv
Applied Soft Computing (2024) Vol. 162, pp. 111863-111863
Closed Access | Times Cited: 5
MLP-Carbon: A new paradigm integrating multi-frequency and multi-scale techniques for accurate carbon price forecasting
Zhirui Tian, Wei Sun, Chenye Wu
Applied Energy (2025) Vol. 383, pp. 125330-125330
Closed Access
Multivariate rolling decomposition hybrid learning paradigm for power load forecasting
Aiting Xu, Jiapeng Chen, Jinchang Li, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 212, pp. 115375-115375
Closed Access
A coupled framework for power load forecasting with Gaussian implicit spatio temporal block and attention mechanisms network
Dezhi Liu, Xuan Lin, Hanyang Liu, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110263-110263
Closed Access
Interval prediction of crude oil spot price volatility: An improved hybrid model integrating decomposition strategy, IESN and ARIMA
Jinliang Zhang, ziyi Liu
Expert Systems with Applications (2024) Vol. 252, pp. 124195-124195
Closed Access | Times Cited: 3
Minute-level ultra-short-term power load forecasting based on time series data features
Chuang Wang, Haishen Zhao, Yang Liu, et al.
Applied Energy (2024) Vol. 372, pp. 123801-123801
Open Access | Times Cited: 3
Multi-scale convolutional auto encoder for anomaly detection in 6G environment
Shtwai Alsubai, Muhammad Umer, Nisreen Innab, et al.
Computers & Industrial Engineering (2024) Vol. 194, pp. 110396-110396
Closed Access | Times Cited: 3
A novel short-term multi-energy load forecasting method for integrated energy system based on two-layer joint modal decomposition and dynamic optimal ensemble learning
Zhengyang Lin, Tao Lin, Jun Li, et al.
Applied Energy (2024) Vol. 378, pp. 124798-124798
Closed Access | Times Cited: 3
A combined prediction system for PM2.5 concentration integrating spatio-temporal correlation extracting, multi-objective optimization weighting and non-parametric estimation
Jianzhou Wang, Yuansheng Qian, Yuyang Gao, et al.
Atmospheric Pollution Research (2023) Vol. 14, Iss. 10, pp. 101880-101880
Closed Access | Times Cited: 8
A novel fuzzification-forecasting-optimization ensemble system for wind speed based on fuzzy theory and a multiobjective optimizer
Yang Zhao, Jianzhou Wang, Tong Niu, et al.
Applied Intelligence (2024) Vol. 54, Iss. 23, pp. 12037-12066
Closed Access | Times Cited: 2
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
A novel combined probabilistic load forecasting system integrating hybrid quantile regression and knee improved multi-objective optimization strategy
Yi Yang, Qianyi Xing, Kang Wang, et al.
Applied Energy (2023) Vol. 356, pp. 122341-122341
Closed Access | Times Cited: 7
Improving multi-site photovoltaic forecasting with relevance amplification: DeepFEDformer-based approach
Yan Wen, Su Pan, Xinxin Li, et al.
Energy (2024) Vol. 299, pp. 131479-131479
Closed Access | Times Cited: 1
Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting
Yang Yang, Hao Lou, Zijin Wang, et al.
Applied Intelligence (2024) Vol. 54, Iss. 17-18, pp. 8745-8760
Open Access | Times Cited: 1
WPFSAD: Wind Power Forecasting System Integrating Dual-Stage Attention and Deep Learning
Tong Niu, Jianzhou Wang, Pei Du, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 11, pp. 11252-11264
Closed Access | Times Cited: 4
A Hybrid Power Load Forecasting Framework with Attention-Based Network and Multi-Scale Decomposition
Jiaming Zhu, Dezhi Liu, Lili Niu, et al.
(2024)
Closed Access
Volatility Interval Prediction of Crude Oil Spot Prices: An Improved Hybrid Model
Jinliang Zhang, ziyi Liu
(2024)
Closed Access
Volatility Interval Prediction of Crude Oil Spot Prices: An Improved Hybrid Model
Jinliang Zhang, ziyi Liu
(2024)
Closed Access
Volatility Interval Prediction of Crude Oil Spot Prices: An Improved Hybrid Model
Jinliang Zhang, ziyi Liu
(2024)
Closed Access
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