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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 electric load forecasting based on singular spectrum analysis and support vector machine optimized by Cuckoo search algorithm
Xiaobo Zhang, Jianzhou Wang, Kequan Zhang
Electric Power Systems Research (2017) Vol. 146, pp. 270-285
Closed Access | Times Cited: 251

Showing 1-25 of 251 citing articles:

Comparative analysis of image classification algorithms based on traditional machine learning and deep learning
Pin Wang, En Fan, Peng Wang
Pattern Recognition Letters (2020) Vol. 141, pp. 61-67
Closed Access | Times Cited: 563
Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization
Jie Chen, Guo‐Qiang Zeng, Wuneng Zhou, et al.
Energy Conversion and Management (2018) Vol. 165, pp. 681-695
Closed Access | Times Cited: 365
Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)
Mahdi Panahi, Nitheshnirmal Sãdhasivam, Hamid Reza Pourghasemi, et al.
Journal of Hydrology (2020) Vol. 588, pp. 125033-125033
Closed Access | Times Cited: 286
Electric load forecasting based on deep learning and optimized by heuristic algorithm in smart grid
Ghulam Hafeez, Khurram Saleem Alimgeer, Imran Khan
Applied Energy (2020) Vol. 269, pp. 114915-114915
Closed Access | Times Cited: 281
Effective long short-term memory with differential evolution algorithm for electricity price prediction
Lu Peng, Shan Liu, Rui Liu, et al.
Energy (2018) Vol. 162, pp. 1301-1314
Closed Access | Times Cited: 275
A seasonal GM(1,1) model for forecasting the electricity consumption of the primary economic sectors
Zheng‐Xin Wang, Qin Li, Ling-Ling Pei
Energy (2018) Vol. 154, pp. 522-534
Closed Access | Times Cited: 243
Multi-Scale Convolutional Neural Network With Time-Cognition for Multi-Step Short-Term Load Forecasting
Zhuofu Deng, Binbin Wang, Xu Yanlu, et al.
IEEE Access (2019) Vol. 7, pp. 88058-88071
Open Access | Times Cited: 229
A regional hybrid GOA-SVM model based on similar day approach for short-term load forecasting in Assam, India
Mayur Barman, Nalin B. Dev Choudhury, Suman Sutradhar
Energy (2018) Vol. 145, pp. 710-720
Closed Access | Times Cited: 216
Conventional models and artificial intelligence-based models for energy consumption forecasting: A review
Nan Wei, Changjun Li, Xiaomei Peng, et al.
Journal of Petroleum Science and Engineering (2019) Vol. 181, pp. 106187-106187
Closed Access | Times Cited: 203
Short-term electricity load forecasting based on feature selection and Least Squares Support Vector Machines
Ailing Yang, Weide Li, Xuan Yang
Knowledge-Based Systems (2018) Vol. 163, pp. 159-173
Closed Access | Times Cited: 199
Hybrid structures in time series modeling and forecasting: A review
Zahra Hajirahimi, Mehdi Khashei
Engineering Applications of Artificial Intelligence (2019) Vol. 86, pp. 83-106
Closed Access | Times Cited: 184
Methods and Models for Electric Load Forecasting: A Comprehensive Review
M. Hammad, Borut Jereb, Bojan Rosi, et al.
Logistics Supply Chain Sustainability and Global Challenges (2020) Vol. 11, Iss. 1, pp. 51-76
Open Access | Times Cited: 178
Residential load forecasting based on LSTM fusing self-attention mechanism with pooling
Haixiang Zang, Ruiqi Xu, Lilin Cheng, et al.
Energy (2021) Vol. 229, pp. 120682-120682
Closed Access | Times Cited: 176
Electricity Price and Load Forecasting using Enhanced Convolutional Neural Network and Enhanced Support Vector Regression in Smart Grids
Maheen Zahid, Fahad Ahmed, Nadeem Javaid, et al.
Electronics (2019) Vol. 8, Iss. 2, pp. 122-122
Open Access | Times Cited: 152
A Survey on ensemble learning under the era of deep learning
Yongquan Yang, Haijun Lv, Ning Chen
Artificial Intelligence Review (2022) Vol. 56, Iss. 6, pp. 5545-5589
Closed Access | Times Cited: 147
Permeability prediction of heterogeneous carbonate gas condensate reservoirs applying group method of data handling
Masoud Zanganeh Kamali, Shadfar Davoodi, Hamzeh Ghorbani, et al.
Marine and Petroleum Geology (2022) Vol. 139, pp. 105597-105597
Closed Access | Times Cited: 68
A CNN and LSTM-based multi-task learning architecture for short and medium-term electricity load forecasting
Shiyun Zhang, Runhuan Chen, Jiacheng Cao, et al.
Electric Power Systems Research (2023) Vol. 222, pp. 109507-109507
Closed Access | Times Cited: 51
Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition
Sinvaldo Rodrigues Moreno, Laio Oriel Seman, Stéfano Frizzo Stefenon, et al.
Energy (2024) Vol. 292, pp. 130493-130493
Closed Access | Times Cited: 45
Evaluating the Performance of Several Data Preprocessing Methods Based on GRU in Forecasting Monthly Runoff Time Series
Wenchuan Wang, Yu-jin Du, Kwok‐wing Chau, et al.
Water Resources Management (2024) Vol. 38, Iss. 9, pp. 3135-3152
Open Access | Times Cited: 16
An improved grey model optimized by multi-objective ant lion optimization algorithm for annual electricity consumption forecasting
Jianzhou Wang, Pei Du, Haiyan Lu, et al.
Applied Soft Computing (2018) Vol. 72, pp. 321-337
Closed Access | Times Cited: 149
A novel fuzzy-based ensemble model for load forecasting using hybrid deep neural networks
George Sideratos, A. Ikonomopoulos, Nikos Hatziargyriou
Electric Power Systems Research (2019) Vol. 178, pp. 106025-106025
Closed Access | Times Cited: 142
Wind power forecasting based on singular spectrum analysis and a new hybrid Laguerre neural network
Cong Wang, Hongli Zhang, Ping Ma
Applied Energy (2019) Vol. 259, pp. 114139-114139
Closed Access | Times Cited: 132
Neural network model for short-term and very-short-term load forecasting in district buildings
Hanane Dagdougui, Fatemeh Bagheri, Hieu X. Le, et al.
Energy and Buildings (2019) Vol. 203, pp. 109408-109408
Closed Access | Times Cited: 131
Deep Learning for Daily Peak Load Forecasting–A Novel Gated Recurrent Neural Network Combining Dynamic Time Warping
Zeyuan Yu, Zhewen Niu, Wenhu Tang, et al.
IEEE Access (2019) Vol. 7, pp. 17184-17194
Open Access | Times Cited: 126
A novel model based on wavelet LS-SVM integrated improved PSO algorithm for forecasting of dissolved gas contents in power transformers
Hanbo Zheng, Yiyi Zhang, Jiefeng Liu, et al.
Electric Power Systems Research (2017) Vol. 155, pp. 196-205
Closed Access | Times Cited: 119
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