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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 electricity price forecasting based on similarity day screening, two-layer decomposition technique and Bi-LSTM neural network
Keke Wang, Min Yu, Dongxiao Niu, et al.
Applied Soft Computing (2023) Vol. 136, pp. 110018-110018
Closed Access | Times Cited: 38

Showing 26-50 of 38 citing articles:

Integrating Weather Conditions to Forecast the Electricity Price in Belgium Market: A Novel Mixed-Frequency Machine Learning Algorithm
Xiaoxu Du, Yi Cai, Zhenpeng Tang
Journal of Systems Science and Complexity (2024)
Closed Access | Times Cited: 1
Enhancing the performance of deep learning models with fuzzy c-means clustering
Saumya Singh, Smriti Srivastava
Knowledge and Information Systems (2024) Vol. 66, Iss. 12, pp. 7627-7665
Closed Access | Times Cited: 1
A new framework for ultra-short-term electricity load forecasting model using IVMD–SGMD two–layer decomposition and INGO–BiLSTM–TPA–TCN
Xiwen Cui, Xiaodan Zhang, Dongxiao Niu
Applied Soft Computing (2024) Vol. 167, pp. 112311-112311
Closed Access | Times Cited: 1
Design of a Dynamic Feedback LSTM Electricity Price Forecast of Smart Grids
Ashkan Safari, Hamed Kheirandish Gharehbagh, Morteza Nazari‐Heris, et al.
Power systems (2024), pp. 327-344
Closed Access | Times Cited: 1
Auditory-circuit-motivated deep network with application to short-term electricity price forecasting
Han Wu, Yan Liang, Xiao‐Zhi Gao, et al.
Energy (2023) Vol. 288, pp. 129729-129729
Closed Access | Times Cited: 4
A Novel Criterion of Electricity Price Forecast for Demand-Side Responses Participating in the Electricity Market
Sinan Cai, Masahiro Mae, Ryuji Matsuhashi
2022 18th International Conference on the European Energy Market (EEM) (2024), pp. 1-5
Closed Access
Novel Custom Loss Functions and Metrics for Reinforced Forecasting of High and Low Day-Ahead Electricity Prices Using Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) and Ensemble Learning
Ziyang Wang, Masahiro Mae, Takeshi Yamane, et al.
Energies (2024) Vol. 17, Iss. 19, pp. 4885-4885
Open Access
Hybrid model for electricity price prediction based on SCINet-GConv-CA
Xue Li, Wei Yan, Linjun Li
(2024), pp. 1454-1458
Closed Access
Electricity Price Forecasting Combined with Wavelet Packet Decomposition and a Hybrid Deep Neural Network in Spot Market
Heping Jia, Yuchen Guo, Xiao‐Bin Zhang, et al.
Research Square (Research Square) (2024)
Open Access
A novel bidirectional recurrent neural network for power load forecasting
Wenqi Huang, Xiangyu Zhao, Lingyu Liang, et al.
(2023), pp. 737-741
Closed Access
A day-ahead electricity price forecasting algorithm considered with multidimensional factors
Yanjun Dong, Jing Zhao, Juan Su, et al.
2022 7th International Conference on Power and Renewable Energy (ICPRE) (2023), pp. 1252-1257
Closed Access
Dynamic XGBoost-based Quantile Predictor for Real-time Electricity Price Forecasting
Tianshu Bao, Xinlin Wang, Nariman Mahdavi, et al.
(2023), pp. 1-6
Closed Access
Stacked LSTM based Enhanced Data-driven Framework for Forecasting Day-ahead Electricity Prices
Rahul Sagwal, Janakarajan Ramkumar, S. N. Singh
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 931-936
Closed Access
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