OpenAlex Citation Counts

OpenAlex Citations Logo

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 effective dimensionality reduction approach for short-term load forecasting
Yang Yang, Zijin Wang, Yuchao Gao, et al.
Electric Power Systems Research (2022) Vol. 210, pp. 108150-108150
Closed Access | Times Cited: 35

Showing 26-50 of 35 citing articles:

Short-Term Load Forecasting of the Greek Power System Using a Dynamic Block-Diagonal Fuzzy Neural Network
George Kandilogiannakis, Paris Mastorocostas, Athanasios Voulodimos, et al.
(2023)
Open Access | Times Cited: 2

An Ensemble Deep Learning Model for Provincial Load Forecasting Based on Reduced Dimensional Clustering and Decomposition Strategies
Kaiyan Wang, Haodong Du, Jiao Wang, et al.
Mathematics (2023) Vol. 11, Iss. 12, pp. 2786-2786
Open Access | Times Cited: 2

An Ultra-short-term Power Load Forecasting Method Based on XGBoost and Fusion Feature Optimization
Lianrong Pan, Peikai Li, Yuan Fu, et al.
(2024) Vol. 47, pp. 537-540
Closed Access

Low frequency residential load monitoring via feature fusion and deep learning
Tianyao Ji, Jiawei Chen, Luliang Zhang, et al.
Electric Power Systems Research (2024) Vol. 238, pp. 111092-111092
Closed Access

Financial Time Series Forecast of Temporal Convolutional Network Based on Feature Extraction by Variational Mode Decomposition
Mengting Zhao
Lecture notes in electrical engineering (2023), pp. 365-374
Closed Access | Times Cited: 1

Short-Term Load Forecasting of the Greek Power System Using a Dynamic Block-Diagonal Fuzzy Neural Network
George Kandilogiannakis, Paris Mastorocostas, Athanasios Voulodimos, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4227-4227
Open Access | Times Cited: 1

Highway Self-Attention Dilated Casual Convolutional Neural Network Based Short Term Load Forecasting in Micro Grid
H S Shreenidhi, Narayana Swamy Ramaiah
Journal of Machine and Computing (2023), pp. 394-407
Open Access | Times Cited: 1

Electricity Demand Forecasting With a Modified Extreme-Learning Machine Algorithm
Chen Chen, Chuangang Ou, Mingxiang Liu, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 1

Short-term Load Forecasting of a Technology Park Based on a LightGBM-LSTM Fusion Algorithm
Xiaojiao Liang, Yuanyuan Feng, Jiping Jiang, et al.
2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) (2022), pp. 151-155
Closed Access | Times Cited: 1

Short - Term Prediction of Coke Pushing Current Peak Based on Improved ARIMA Model
Haiyang Wei, Luefeng Chen, Jie Hu, et al.
(2023) Vol. 35, pp. 1-6
Closed Access

Load2Load: Day-ahead load forecasting at aggregated level
Mustafa Berkay Yılmaz
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES (2022) Vol. 30, Iss. 7, pp. 2636-2653
Open Access

Previous Page - Page 2

Scroll to top