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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 adaptive hybrid model for short term electricity price forecasting
Jinliang Zhang, Zhongfu Tan, Yi‐Ming Wei
Applied Energy (2019) Vol. 258, pp. 114087-114087
Closed Access | Times Cited: 132

Showing 26-50 of 132 citing articles:

Combined electricity load-forecasting system based on weighted fuzzy time series and deep neural networks
Zhining Cao, Jianzhou Wang, Yurui Xia
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 108375-108375
Closed Access | Times Cited: 9
A novel multivariate electrical price bi-forecasting system based on deep learning, a multi-input multi-output structure and an operator combination mechanism
Ying Nie, Ping Li, Jianzhou Wang, et al.
Applied Energy (2024) Vol. 366, pp. 123233-123233
Closed Access | Times Cited: 9
Revitalizing the Electric Grid: A Machine Learning Paradigm for Ensuring Stability in the U.S.A.
MD Rokibul Hasan
Journal of Computer Science and Technology Studies (2024) Vol. 6, Iss. 1, pp. 142-154
Closed Access | Times Cited: 8
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: 69
Ensemble forecasting for intraday electricity prices: Simulating trajectories
Michał Narajewski, Florian Ziel
Applied Energy (2020) Vol. 279, pp. 115801-115801
Open Access | Times Cited: 52
Optimized neural network combined model based on the induced ordered weighted averaging operator for vegetable price forecasting
Bo Li, Junqi Ding, Zhengqing Yin, et al.
Expert Systems with Applications (2020) Vol. 168, pp. 114232-114232
Closed Access | Times Cited: 51
A hybrid day-ahead electricity price forecasting framework based on time series
Xiaoping Xiong, Guohua Qing
Energy (2022) Vol. 264, pp. 126099-126099
Closed Access | Times Cited: 33
Optimized Seq2Seq model based on multiple methods for short-term power load forecasting
Yeming Dai, Xinyu Yang, Mingming Leng
Applied Soft Computing (2023) Vol. 142, pp. 110335-110335
Closed Access | Times Cited: 21
Forecasting Day-Ahead Electricity Prices for the Italian Electricity Market Using a New Decomposition—Combination Technique
Hasnain Iftikhar, Josué Edison Turpo Chaparro, Paulo Canas Rodrigues, et al.
Energies (2023) Vol. 16, Iss. 18, pp. 6669-6669
Open Access | Times Cited: 20
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: 19
Machine and deep learning approaches for forecasting electricity price and energy load assessment on real datasets
Heba-Allah Ibrahim El-Azab, R.A. Swief, Noha H. El-Amary, et al.
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 4, pp. 102613-102613
Open Access | Times Cited: 7
Enhancing cryptocurrency market volatility forecasting with daily dynamic tuning strategy
Lingbing Feng, Jiajun Qi, Brian M. Lucey
International Review of Financial Analysis (2024) Vol. 94, pp. 103239-103239
Closed Access | Times Cited: 7
Half-hourly electricity price prediction with a hybrid convolution neural network-random vector functional link deep learning approach
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Applied Energy (2024) Vol. 374, pp. 123920-123920
Open Access | Times Cited: 7
A feature extraction- and ranking-based framework for electricity spot price forecasting using a hybrid deep neural network
Zhen Shao, Qingru Zheng, Chen Liu, et al.
Electric Power Systems Research (2021) Vol. 200, pp. 107453-107453
Closed Access | Times Cited: 37
A hybrid deep learning-based online energy management scheme for industrial microgrid
Renzhi Lu, Ruichang Bai, Yuemin Ding, et al.
Applied Energy (2021) Vol. 304, pp. 117857-117857
Open Access | Times Cited: 36
Scenarios modelling for forecasting day-ahead electricity prices: Case studies in Australia
Xin Lu, Jing Qiu, Gang Lei, et al.
Applied Energy (2021) Vol. 308, pp. 118296-118296
Closed Access | Times Cited: 34
Forecasting the occurrence of extreme electricity prices using a multivariate logistic regression model
Luyao Liu, Feifei Bai, Chenyu Su, et al.
Energy (2022) Vol. 247, pp. 123417-123417
Open Access | Times Cited: 26
Using one-dimensional convolutional neural networks and data augmentation to predict thermal production in geothermal fields
Yunxing Yang, Yanjun Zhang, Yuxiang Cheng, et al.
Journal of Cleaner Production (2023) Vol. 387, pp. 135879-135879
Closed Access | Times Cited: 14
Revitalizing the Electric Grid: A Machine Learning Paradigm for Ensuring Stability in the U.S.A
MD Rokibul Hasan
Journal of Computer Science and Technology Studies (2024) Vol. 6, Iss. 1, pp. 141-154
Open Access | Times Cited: 5
An effective Two-Stage Electricity Price forecasting scheme
Wei Shi, Yufeng Wang, Yiyuan Chen, et al.
Electric Power Systems Research (2021) Vol. 199, pp. 107416-107416
Closed Access | Times Cited: 32
Short-term Price Forecasting Method in Electricity Spot Markets Based on Attention-LSTM-mTCN
Guang Yang, Songhuai Du, Qingling Duan, et al.
Journal of Electrical Engineering and Technology (2022) Vol. 17, Iss. 2, pp. 1009-1018
Closed Access | Times Cited: 20
QCAE: A quadruple branch CNN autoencoder for real-time electricity price forecasting
Haolin Yang, Kristen R. Schell
International Journal of Electrical Power & Energy Systems (2022) Vol. 141, pp. 108092-108092
Closed Access | Times Cited: 20
Optimal consumer capacity investment in solar panel system under supply and demand uncertainty
Candice H. Huynh, Wenting Pan
Journal of Cleaner Production (2024) Vol. 437, pp. 140754-140754
Open Access | Times Cited: 4
Forecasting individual bids in real electricity markets through machine learning framework
Qinghu Tang, Hongye Guo, Kedi Zheng, et al.
Applied Energy (2024) Vol. 363, pp. 123053-123053
Closed Access | Times Cited: 4
Electricity GANs: Generative Adversarial Networks for Electricity Price Scenario Generation
Bilgi Yilmaz, Christian Laudagé, Ralf Korn, et al.
Commodities (2024) Vol. 3, Iss. 3, pp. 254-280
Open Access | Times Cited: 4

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