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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 Power Load Forecasting Method Based on Improved Exponential Smoothing Grey Model
Jianwei Mi, Libin Fan, Xuechao Duan, et al.
Mathematical Problems in Engineering (2018) Vol. 2018, pp. 1-11
Open Access | Times Cited: 87

Showing 26-50 of 87 citing articles:

Multi-Step Ahead Short-Term Electricity Load Forecasting Using VMD-TCN and Error Correction Strategy
Fangze Zhou, Hui Zhou, Zhao‐Yan Li, et al.
Energies (2022) Vol. 15, Iss. 15, pp. 5375-5375
Open Access | Times Cited: 14
Short-term load forecasting considering improved cumulative effect of hourly temperature
Min Wang, Zixuan Yu, Yuan Chen, et al.
Electric Power Systems Research (2021) Vol. 205, pp. 107746-107746
Open Access | Times Cited: 19
MTS-LSTDM: Multi-Time-Scale Long Short-Term Double Memory for power load forecasting
Yiwei Lou, Yu Huang, Xuliang Xing, et al.
Journal of Systems Architecture (2022) Vol. 125, pp. 102443-102443
Closed Access | Times Cited: 13
Predicting wetland area and water depth in Barind plain of India
Pankaj Singha, Swades Pal
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 47, pp. 70933-70949
Closed Access | Times Cited: 13
Electrical Load Forecasting Based on Random Forest, XGBoost, and Linear Regression Algorithms
Mobarak Abumohsen, Amani Yousef Owda, Majdi Owda
(2023), pp. 25-31
Closed Access | Times Cited: 7
Short Term Active Power Load Forecasting Using Machine Learning with Feature Selection
Venkataramana Veeramsetty, D. Rakesh Chandra, Surender Reddy Salkuti
Lecture notes in electrical engineering (2022), pp. 103-124
Closed Access | Times Cited: 12
Improvement of WEAP model considering regional and industrial water distribution priority and its application
Zhaoyi Zhang, Yanhu He, Xiaohong Chen, et al.
Journal of Hydrology Regional Studies (2023) Vol. 47, pp. 101414-101414
Open Access | Times Cited: 6
Short-term power load forecasting based on the CEEMDAN-TCN-ESN model
Jiacheng Huang, Xiaowen Zhang, Xuchu Jiang
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0284604-e0284604
Open Access | Times Cited: 6
Uncertain Interval Forecasting for Combined Electricity-Heat-Cooling-Gas Loads in the Integrated Energy System Based on Multi-Task Learning and Multi-Kernel Extreme Learning Machine
Haoran Zhao, Sen Guo
Mathematics (2021) Vol. 9, Iss. 14, pp. 1645-1645
Open Access | Times Cited: 13
A comparative study of long-term load forecasting techniques applied to Tunisian grid case
Sirine Essallah, Adel Khedher
Electrical Engineering (2019) Vol. 101, Iss. 4, pp. 1235-1247
Closed Access | Times Cited: 15
Short-term Load Forecasting Model Based on RBF Neural Network Optimized by Artificial Bee Colony Algorithm
Aoyang Han, Zhou Shengqi, Xuehui Jian, et al.
(2021)
Closed Access | Times Cited: 12
Short-Term Load Forcasting for Smart Power Systems Using Swarm Intelligence Algorithm
N. Prakash, B. Vaikundaselvan, S. S. Sivaraju
Journal of Circuits Systems and Computers (2022) Vol. 31, Iss. 11
Closed Access | Times Cited: 8
Empowering Data-driven Load Forecasting by Leveraging Long Short-Term Memory Recurrent Neural Networks
Waqar Waheed, Qingshan Xu, Muhammad Aurangzeb, et al.
Heliyon (2024) Vol. 10, Iss. 24, pp. e40934-e40934
Closed Access | Times Cited: 1
Short Term Load Forecasting Using Bootstrap Aggregating Based Ensemble Artificial Neural Network
Muhammad Faizan Tahir, Haoyong Chen, Kashif Mehmood, et al.
Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) (2019) Vol. 13, Iss. 7, pp. 980-992
Closed Access | Times Cited: 12
Short-Term Load Forecasting Based on Frequency Domain Decomposition and Deep Learning
Qian Zhang, Yuan Ma, Guoli Li, et al.
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-9
Open Access | Times Cited: 12
Multienergy Load Forecasting for Regional Integrated Energy Systems Considering Multienergy Coupling of Variation Characteristic Curves
Shouxiang Wang, Kaixin Wu, Qianyu Zhao, et al.
Frontiers in Energy Research (2021) Vol. 9
Open Access | Times Cited: 10
Forecasting for Ultra-Short-Term Electric Power Load Based on Integrated Artificial Neural Networks
Horng-Lin Shieh, Fu-Hsien Chen
Symmetry (2019) Vol. 11, Iss. 8, pp. 1063-1063
Open Access | Times Cited: 8
Load forecasting using multiple linear regression with different calendars
Hannah Nano, Savanna New, Achraf Cohen, et al.
Elsevier eBooks (2019), pp. 405-417
Closed Access | Times Cited: 8
Performance Evaluation of Different Membership Function in Fuzzy Logic Based Short-Term Load Forecasting
Oladimeji Ibrahim, Waheed Olaide Owonikoko, Abubakar Abdulkarim, et al.
Pertanika journal of science & technology (2021) Vol. 29, Iss. 2
Open Access | Times Cited: 7
A Short-Term Power Load Forecasting Method of Based on the CEEMDAN-MVO-GRU
Taorong Jia, Yao Lixiao, Guoqing Yang, et al.
Sustainability (2022) Vol. 14, Iss. 24, pp. 16460-16460
Open Access | Times Cited: 5
An Improved Prediction Model Combining Inverse Exponential Smoothing and Markov Chain
Tong Niu, Lin Zhang, Bo Zhang, et al.
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-11
Open Access | Times Cited: 7
A New BDS-2 Satellite Clock Bias Prediction Algorithm with an Improved Exponential Smoothing Method
Yu Ye, Mo Huang, Changyuan Wang, et al.
Applied Sciences (2020) Vol. 10, Iss. 21, pp. 7456-7456
Open Access | Times Cited: 7
Micro-Spatial Electricity Load Forecasting Using Clustering Technique
Christine Widyastuti, Adri Senen, Oktaria Handayani
(2020), pp. 17-21
Closed Access | Times Cited: 7
Optimal Short Term Power Load Forecasting Algorithm by Using Improved Artificial Intelligence Technique
Waqar Waheed, Qingshan Xu
(2020)
Closed Access | Times Cited: 6
Automatic Selection of Temperature Variables for Short-Term Load Forecasting
Alfredo Candela Esclapez, Miguel López, S. Valero, et al.
Sustainability (2022) Vol. 14, Iss. 20, pp. 13339-13339
Open Access | Times Cited: 4

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