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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 integrated power load point-interval forecasting system based on information entropy and multi-objective optimization
Kang Wang, Jianzhou Wang, Bo Zeng, et al.
Applied Energy (2022) Vol. 314, pp. 118938-118938
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Multivariate selection-combination short-term wind speed forecasting system based on convolution-recurrent network and multi-objective chameleon swarm algorithm
Jianzhou Wang, Mengzheng Lv, Zhiwu Li, et al.
Expert Systems with Applications (2022) Vol. 214, pp. 119129-119129
Closed Access | Times Cited: 61
A hybrid multi-criteria decision-making framework for offshore wind turbine selection: A case study in China
Yang Yu, Shibo Wu, Jianxing Yu, et al.
Applied Energy (2022) Vol. 328, pp. 120173-120173
Closed Access | Times Cited: 43
A novel wind power forecasting system integrating time series refining, nonlinear multi-objective optimized deep learning and linear error correction
Jianzhou Wang, Yuansheng Qian, Linyue Zhang, et al.
Energy Conversion and Management (2023) Vol. 299, pp. 117818-117818
Closed Access | Times Cited: 38
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: 12
Carbon emission price point-interval forecasting based on multivariate variational mode decomposition and attention-LSTM model
Liling Zeng, Huanling Hu, Huajun Tang, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111543-111543
Closed Access | Times Cited: 10
A combined forecasting framework including point prediction and interval prediction for carbon emission trading prices
Xinsong Niu, Jiyang Wang, Danxiang Wei, et al.
Renewable Energy (2022) Vol. 201, pp. 46-59
Closed Access | Times Cited: 28
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 interval-valued carbon price analysis and forecasting system based on multi-objective ensemble strategy for carbon trading market
Hao Yan, Xiaodi Wang, Jianzhou Wang, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122912-122912
Closed Access | Times Cited: 16
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: 16
Research of a novel combined deterministic and probabilistic forecasting system for air pollutant concentration
Qianyi Xing, Jianzhou Wang, He Jiang, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120117-120117
Closed Access | Times Cited: 15
Enhancing real-time and day-ahead load forecasting accuracy with deep learning and weighed ensemble approach
Zeyu Li, Zhirui Tian
Applied Intelligence (2025) Vol. 55, Iss. 4
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
Short-term offshore wind speed forecasting approach based on multi-stage decomposition and deep residual network with self-attention
Hakan Açıkgöz, Deniz Korkmaz
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110313-110313
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
An optimized decomposition integration framework for carbon price prediction based on multi-factor two-stage feature dimension reduction
Wenjie Xu, Jujie Wang, Yue Zhang, et al.
Annals of Operations Research (2022)
Open Access | Times Cited: 26
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
Short-term power load forecasting system based on rough set, information granule and multi-objective optimization
Jianzhou Wang, Kang Wang, Zhiwu Li, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110692-110692
Closed Access | Times Cited: 14
Novel wind-speed prediction system based on dimensionality reduction and nonlinear weighting strategy for point-interval prediction
Xinyu Wang, Jianzhou Wang, Xinsong Niu, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122477-122477
Closed Access | Times Cited: 14
A novel hybrid wind speed prediction framework based on multi-strategy improved optimizer and new data pre-processing system with feedback mechanism
Zhirui Tian, Gai Mei
Energy (2023) Vol. 281, pp. 128225-128225
Closed Access | Times Cited: 12
Multidimensional information fusion and broad learning system-based condition recognition for energy pipeline safety
Chengyuan Zhu, Yanyun Pu, Zhuoling Lyu, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112259-112259
Closed Access | Times Cited: 4
Research on error correction model of surface acoustic wave yarn tension transducer based on DOA–SVR model
Shoubing Liu, Dongqiang Wang, Renzhou Xing, et al.
Measurement (2024) Vol. 226, pp. 114126-114126
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
PM2.5 concentration prediction system combining fuzzy information granulation and multi-model ensemble learning
Yamei Chen, Jianzhou Wang, Runze Li, et al.
Journal of Environmental Sciences (2024)
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
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