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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:

Short-term load forecasting method based on fuzzy time series, seasonality and long memory process
Hossein Javedani Sadaei, Frederico Gadelha Guimarães, Cidiney Silva, et al.
International Journal of Approximate Reasoning (2017) Vol. 83, pp. 196-217
Open Access | Times Cited: 111

Showing 1-25 of 111 citing articles:

Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series
Hossein Javedani Sadaei, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães, et al.
Energy (2019) Vol. 175, pp. 365-377
Closed Access | Times Cited: 269
Short term load forecasting based on feature extraction and improved general regression neural network model
Yi Liang, Dongxiao Niu, Wei‐Chiang Hong
Energy (2018) Vol. 166, pp. 653-663
Closed Access | Times Cited: 256
A seasonal GM(1,1) model for forecasting the electricity consumption of the primary economic sectors
Zheng‐Xin Wang, Qin Li, Ling-Ling Pei
Energy (2018) Vol. 154, pp. 522-534
Closed Access | Times Cited: 243
Short term load forecasting based on phase space reconstruction algorithm and bi-square kernel regression model
Guo‐Feng Fan, Li‐Ling Peng, Wei‐Chiang Hong
Applied Energy (2018) Vol. 224, pp. 13-33
Closed Access | Times Cited: 173
Designing fuzzy time series forecasting models: A survey
Mahua Bose, Kalyani Mali
International Journal of Approximate Reasoning (2019) Vol. 111, pp. 78-99
Open Access | Times Cited: 106
A state-of-the-art review of artificial intelligence techniques for short-term electric load forecasting
Kasım Zor, Oğuzhan Timur, Ahmet Teke
(2017), pp. 1-7
Closed Access | Times Cited: 105
Short-Term Power Load Forecasting Method Based on Improved Exponential Smoothing Grey Model
Jianwei Mi, Libin Fan, Xuechao Duan, et al.
Mathematical Problems in Engineering (2018) Vol. 2018, pp. 1-11
Open Access | Times Cited: 87
Time series forecasting using fuzzy cognitive maps: a survey
Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães
Artificial Intelligence Review (2022) Vol. 56, Iss. 8, pp. 7733-7794
Open Access | Times Cited: 46
Data analytics in the electricity sector – A quantitative and qualitative literature review
Frederik vom Scheidt, Hana Medinová, Nicole Ludwig, et al.
Energy and AI (2020) Vol. 1, pp. 100009-100009
Open Access | Times Cited: 68
Hybrid Empirical Mode Decomposition with Support Vector Regression Model for Short Term Load Forecasting
Wei‐Chiang Hong, Guo‐Feng Fan
Energies (2019) Vol. 12, Iss. 6, pp. 1093-1093
Open Access | Times Cited: 59
Hierarchical pattern recognition for tourism demand forecasting
Mingming Hu, Richard T.R. Qiu, Doris Chenguang Wu, et al.
Tourism Management (2020) Vol. 84, pp. 104263-104263
Open Access | Times Cited: 58
A CNN-Sequence-to-Sequence network with attention for residential short-term load forecasting
Mosbah Aouad, Hazem Hajj, Khaled Shaban, et al.
Electric Power Systems Research (2022) Vol. 211, pp. 108152-108152
Closed Access | Times Cited: 35
Clustering and dynamic recognition based auto-reservoir neural network: A wait-and-see approach for short-term park power load forecasting
Jing‐yao Liu, Jiajia Chen, Guijin Yan, et al.
iScience (2023) Vol. 26, Iss. 8, pp. 107456-107456
Open Access | Times Cited: 18
Using deep learning for short-term load forecasting
Nadjib Mohamed Mehdi Bendaoud, Nadir Farah
Neural Computing and Applications (2020) Vol. 32, Iss. 18, pp. 15029-15041
Closed Access | Times Cited: 45
Feature-fusion-kernel-based Gaussian process model for probabilistic long-term load forecasting
Yaonan Guan, Dewei Li, Shibei Xue, et al.
Neurocomputing (2020) Vol. 426, pp. 174-184
Closed Access | Times Cited: 40
A review of the influencing factors of building energy consumption and the prediction and optimization of energy consumption
Zhongjiao Ma, Z. Yan, M. He, et al.
AIMS energy (2025) Vol. 13, Iss. 1, pp. 35-85
Open Access
Seasonality Effect Exploration for Energy Demand Forecasting in Smart Grids
Sabereh Taghdisi Rastkar, Danial Zendehdel, Antonino Capillo, et al.
Studies in computational intelligence (2025), pp. 211-223
Closed Access
A Hybrid Wind Speed Forecasting System Based on a ‘Decomposition and Ensemble’ Strategy and Fuzzy Time Series
Hufang Yang, Zaiping Jiang, Haiyan Lu
Energies (2017) Vol. 10, Iss. 9, pp. 1422-1422
Open Access | Times Cited: 47
Forecasting in non-stationary environments with fuzzy time series
Petrônio Cândido de Lima e Silva, Carlos Alberto Severiano, Marcos Antônio Alves, et al.
Applied Soft Computing (2020) Vol. 97, pp. 106825-106825
Open Access | Times Cited: 38
Inbound tourism demand forecasting framework based on fuzzy time series and advanced optimization algorithm
Ping Jiang, Hufang Yang, Ranran Li, et al.
Applied Soft Computing (2020) Vol. 92, pp. 106320-106320
Closed Access | Times Cited: 37
Optimal Day-Ahead Scheduling and Operation of the Prosumer by Considering Corrective Actions Based on Very Short-Term Load Forecasting
Jamal Faraji, Abbas Ketabi, Hamed Hashemi‐Dezaki, et al.
IEEE Access (2020) Vol. 8, pp. 83561-83582
Open Access | Times Cited: 36
The Fuzzy Logic Method to Efficiently Optimize Electricity Consumption in Individual Housing
Sébastien Bissey, Sébastien Jacques, Jean-Charles Le Bunetel
Energies (2017) Vol. 10, Iss. 11, pp. 1701-1701
Open Access | Times Cited: 36
Applications of Recurrent Neural Networks in Environmental Factor Forecasting: A Review
Yingyi Chen, Qianqian Cheng, Yanjun Cheng, et al.
Neural Computation (2018) Vol. 30, Iss. 11, pp. 2855-2881
Closed Access | Times Cited: 36
Fuzzy time series model based on weighted association rule for financial market forecasting
Ching‐Hsue Cheng, Chung‐Hsi Chen
Expert Systems (2018) Vol. 35, Iss. 4
Closed Access | Times Cited: 33
A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network
Hongjun Guan, Zongli Dai, Aiwu Zhao, et al.
PLoS ONE (2018) Vol. 13, Iss. 2, pp. e0192366-e0192366
Open Access | Times Cited: 32
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