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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:

A Novel Electricity Price Forecasting Approach Based on Dimension Reduction Strategy and Rough Artificial Neural Networks
Hamidreza Jahangir, Hanif Tayarani, Sina Baghali, et al.
IEEE Transactions on Industrial Informatics (2019) Vol. 16, Iss. 4, pp. 2369-2381
Open Access | Times Cited: 121

Showing 1-25 of 121 citing articles:

Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark
Jesus Lago, Grzegorz Marcjasz, Bart De Schutter, et al.
Applied Energy (2021) Vol. 293, pp. 116983-116983
Open Access | Times Cited: 272
A Novel Hybrid Short-Term Load Forecasting Method of Smart Grid Using MLR and LSTM Neural Network
Jian Li, Daiyu Deng, Junbo Zhao, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 17, Iss. 4, pp. 2443-2452
Closed Access | Times Cited: 180
Deep Learning-Based Forecasting Approach in Smart Grids With Microclustering and Bidirectional LSTM Network
Hamidreza Jahangir, Hanif Tayarani, Saleh Sadeghi Gougheri, et al.
IEEE Transactions on Industrial Electronics (2020) Vol. 68, Iss. 9, pp. 8298-8309
Closed Access | Times Cited: 159
Bayesian Deep Learning-Based Probabilistic Load Forecasting in Smart Grids
Yandong Yang, Wei Li, T. Aaron Gulliver, et al.
IEEE Transactions on Industrial Informatics (2019) Vol. 16, Iss. 7, pp. 4703-4713
Closed Access | Times Cited: 150
Artificial intelligence techniques for enabling Big Data services in distribution networks: A review
Sara Barja-Martinez, Mònica Aragüés‐Peñalba, Íngrid Munné‐Collado, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 150, pp. 111459-111459
Open Access | Times Cited: 116
DNNOff: Offloading DNN-Based Intelligent IoT Applications in Mobile Edge Computing
Xing Chen, Ming Li, Hao Zhong, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 4, pp. 2820-2829
Closed Access | Times Cited: 110
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx
Kin G. Olivares, Cristian Challú, Grzegorz Marcjasz, et al.
International Journal of Forecasting (2022) Vol. 39, Iss. 2, pp. 884-900
Open Access | Times Cited: 108
Optimal bidding strategy of a virtual power plant in day-ahead energy and frequency regulation markets: A deep learning-based approach
Saleh Sadeghi Gougheri, Hamidreza Jahangir, Behzad Vatandoust, et al.
International Journal of Electrical Power & Energy Systems (2020) Vol. 127, pp. 106646-106646
Closed Access | Times Cited: 116
Short-term wind speed forecasting framework based on stacked denoising auto-encoders with rough ANN
Hamidreza Jahangir, Masoud Aliakbar Golkar, Falah Alhameli, et al.
Sustainable Energy Technologies and Assessments (2020) Vol. 38, pp. 100601-100601
Closed Access | Times Cited: 89
Plug-in Electric Vehicle Behavior Modeling in Energy Market: A Novel Deep Learning-Based Approach With Clustering Technique
Hamidreza Jahangir, Saleh Sadeghi Gougheri, Behzad Vatandoust, et al.
IEEE Transactions on Smart Grid (2020) Vol. 11, Iss. 6, pp. 4738-4748
Open Access | Times Cited: 87
A review of the use of artificial intelligence methods in infrastructure systems
Lauren McMillan, Liz Varga
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105472-105472
Open Access | Times Cited: 63
Monthly Henry Hub natural gas spot prices forecasting using variational mode decomposition and deep belief network
Jinchao Li, Qianqian Wu, Yu Tian, et al.
Energy (2021) Vol. 227, pp. 120478-120478
Closed Access | Times Cited: 58
Optimal participation of a virtual power plant in electricity market considering renewable energy: A deep learning-based approach
Saleh Sadeghi Gougheri, Hamidreza Jahangir, Mahsa A. Golkar, et al.
Sustainable Energy Grids and Networks (2021) Vol. 26, pp. 100448-100448
Closed Access | Times Cited: 57
Short-term Solar Power Prediction Learning Directly from Satellite Images With Regions of Interest
Lilin Cheng, Haixiang Zang, Zhinong Wei, et al.
IEEE Transactions on Sustainable Energy (2021) Vol. 13, Iss. 1, pp. 629-639
Closed Access | Times Cited: 57
A data-driven decision support system for sustainable supplier evaluation in the Industry 5.0 era: A case study for medical equipment manufacturing
Huai-Wei Lo
Advanced Engineering Informatics (2023) Vol. 56, pp. 101998-101998
Closed Access | Times Cited: 40
Distributional neural networks for electricity price forecasting
Grzegorz Marcjasz, Michał Narajewski, Rafał Weron, et al.
Energy Economics (2023) Vol. 125, pp. 106843-106843
Open Access | Times Cited: 38
Multi-Feature Data Fusion-Based Load Forecasting of Electric Vehicle Charging Stations Using a Deep Learning Model
Prince Aduama, Zhibo Zhang, Ameena Saad Al‐Sumaiti
Energies (2023) Vol. 16, Iss. 3, pp. 1309-1309
Open Access | Times Cited: 32
A new framework for electricity price forecasting via multi-head self-attention and CNN-based techniques in the competitive electricity market
Alireza Pourdaryaei, Mohammad Mohammadi, Hamza Mubarak, et al.
Expert Systems with Applications (2023) Vol. 235, pp. 121207-121207
Open Access | Times Cited: 24
Comparison of strategies for multistep-ahead lake water level forecasting using deep learning models
Gang Li, Zhangkang Shu, Miaoli Lin, et al.
Journal of Cleaner Production (2024) Vol. 444, pp. 141228-141228
Closed Access | Times Cited: 12
Analysis and Study of Transmission Line Icing Based on Grey Correlation Pearson Combinatorial Optimization Support Vector Machine
Shunjie Han, Dongqi Li, Keyu Li, et al.
Measurement (2024) Vol. 236, pp. 115086-115086
Closed Access | Times Cited: 9
Data-driven real-time price-based demand response for industrial facilities energy management
Renzhi Lu, Ruichang Bai, Yuan Huang, et al.
Applied Energy (2020) Vol. 283, pp. 116291-116291
Open Access | Times Cited: 67
Monitoring sustainable development by means of earth observation data and machine learning: a review
Bruno Ferreira, Muriel Iten, Rui Silva
Environmental Sciences Europe (2020) Vol. 32, Iss. 1
Open Access | Times Cited: 55
Peer-to-Peer energy trading strategy for energy balance service provider (EBSP) considering market elasticity in community microgrid
Zibo Wang, Xiaodan Yu, Yunfei Mu, et al.
Applied Energy (2021) Vol. 303, pp. 117596-117596
Closed Access | Times Cited: 45
Unsupervised Learning for Non-intrusive Load Monitoring in Smart Grid Based on Spiking Deep Neural Network
Zejian Zhou, Yingmeng Xiang, Hao Xu, et al.
Journal of Modern Power Systems and Clean Energy (2022) Vol. 10, Iss. 3, pp. 606-616
Open Access | Times Cited: 31
Day-ahead electricity price forecasting employing a novel hybrid frame of deep learning methods: A case study in NSW, Australia
Yong Qiang Tan, Yan Shen, Xin Yu, et al.
Electric Power Systems Research (2023) Vol. 220, pp. 109300-109300
Closed Access | Times Cited: 18
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