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 Hybrid Model Based on Extreme Learning Machine, k-Nearest Neighbor Regression and Wavelet Denoising Applied to Short-Term Electric Load Forecasting
Weide Li, Demeng Kong, Jinran Wu
Energies (2017) Vol. 10, Iss. 5, pp. 694-694
Open Access | Times Cited: 39
Weide Li, Demeng Kong, Jinran Wu
Energies (2017) Vol. 10, Iss. 5, pp. 694-694
Open Access | Times Cited: 39
Showing 26-50 of 39 citing articles:
A Review of Machine Learning Algorithms Used for Load Forecasting at Microgrid Level
Enea Mele
(2019)
Open Access | Times Cited: 9
Enea Mele
(2019)
Open Access | Times Cited: 9
Machine Learning Platform for Profiling and Forecasting at Microgrid Level
Enea Mele, Charalambos Elias, Aphrodite Ktena
Electrical Control and Communication Engineering (2019) Vol. 15, Iss. 1, pp. 21-29
Open Access | Times Cited: 9
Enea Mele, Charalambos Elias, Aphrodite Ktena
Electrical Control and Communication Engineering (2019) Vol. 15, Iss. 1, pp. 21-29
Open Access | Times Cited: 9
Parameter-free surrounding neighborhood based regression methods
Tülin İnkaya
Expert Systems with Applications (2022) Vol. 199, pp. 116881-116881
Closed Access | Times Cited: 5
Tülin İnkaya
Expert Systems with Applications (2022) Vol. 199, pp. 116881-116881
Closed Access | Times Cited: 5
Dynamic evolutionary model based on a multi-sampling inherited HAPFNN for an aluminium electrolysis manufacturing system
Wei Ding, Lizhong Yao, Yanyan Li, et al.
Applied Soft Computing (2020) Vol. 99, pp. 106925-106925
Closed Access | Times Cited: 7
Wei Ding, Lizhong Yao, Yanyan Li, et al.
Applied Soft Computing (2020) Vol. 99, pp. 106925-106925
Closed Access | Times Cited: 7
An innovated integrated model using Singular Spectrum Analysis and Support Vector Regression optimized by intelligent algorithm for rainfall forecasting
Weide Li, Juan Zhang
Journal of Autonomous Intelligence (2019) Vol. 2, Iss. 1, pp. 46-46
Open Access | Times Cited: 6
Weide Li, Juan Zhang
Journal of Autonomous Intelligence (2019) Vol. 2, Iss. 1, pp. 46-46
Open Access | Times Cited: 6
Research on Adaptive Selection Algorithm for Multi-model Load Forecasting Based on Adaboost
Kaiwen Zeng, Jianing Liu, Haizhu Wang, et al.
IOP Conference Series Earth and Environmental Science (2020) Vol. 610, pp. 012005-012005
Open Access | Times Cited: 4
Kaiwen Zeng, Jianing Liu, Haizhu Wang, et al.
IOP Conference Series Earth and Environmental Science (2020) Vol. 610, pp. 012005-012005
Open Access | Times Cited: 4
Comprehensive Load Forecasting: Integration of Clustering and Multi-Model Techniques
Jia Qian, Zhang Xue-yuan, Qiaohong Liu, et al.
2020 7th International Forum on Electrical Engineering and Automation (IFEEA) (2023), pp. 72-75
Closed Access | Times Cited: 1
Jia Qian, Zhang Xue-yuan, Qiaohong Liu, et al.
2020 7th International Forum on Electrical Engineering and Automation (IFEEA) (2023), pp. 72-75
Closed Access | Times Cited: 1
Electricity Price Forecasting Method Based on Quantum Immune Optimization BP Neural Network Algorithm
Xuan Zhang, Qing Hao, Wenjie Qu, et al.
2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) (2021), pp. 310-314
Closed Access | Times Cited: 3
Xuan Zhang, Qing Hao, Wenjie Qu, et al.
2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) (2021), pp. 310-314
Closed Access | Times Cited: 3
Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) Method
Weronika Nitka, Tomasz Serafin, Dimitris Sotiros
Lecture notes in computer science (2021), pp. 312-325
Closed Access | Times Cited: 3
Weronika Nitka, Tomasz Serafin, Dimitris Sotiros
Lecture notes in computer science (2021), pp. 312-325
Closed Access | Times Cited: 3
Incremental learning model based on an improved CKS-PFNN for aluminium electrolysis manufacturing
Wei Ding, Lizhong Yao, Yanyan Li, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 3, pp. 2083-2102
Closed Access | Times Cited: 3
Wei Ding, Lizhong Yao, Yanyan Li, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 3, pp. 2083-2102
Closed Access | Times Cited: 3
Establishing the energy consumption prediction model of aluminum electrolysis process by genetically optimizing wavelet neural network
Lizhong Yao, Qian Fan, Lei Zhao, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 2
Lizhong Yao, Qian Fan, Lei Zhao, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 2
An integrated model based on deep kernel extreme learning machine and variational mode decomposition for day-ahead electricity load forecasting
Ceyhun Yıldız
Neural Computing and Applications (2023) Vol. 35, Iss. 25, pp. 18763-18781
Closed Access
Ceyhun Yıldız
Neural Computing and Applications (2023) Vol. 35, Iss. 25, pp. 18763-18781
Closed Access
A Time Series Data Regression Analysis based on B-spline Basis Expansion and Distance Covariance Weighted Stacking Framework
Chenge Yan, Ziwen Zhu, Yuning Hong
Highlights in Science Engineering and Technology (2023) Vol. 61, pp. 239-249
Closed Access
Chenge Yan, Ziwen Zhu, Yuning Hong
Highlights in Science Engineering and Technology (2023) Vol. 61, pp. 239-249
Closed Access
Energy efficiency in industrial facilities - Improvements on energy transformation and data analysis
Giulio Vialetto
(2019)
Closed Access
Giulio Vialetto
(2019)
Closed Access
