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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:

A Weekend Load Forecasting Model Based on Semi-Parametric Regression Analysis Considering Weather and Load Interaction
Bin Li, Mingzhen Lu, Yiyi Zhang, et al.
Energies (2019) Vol. 12, Iss. 20, pp. 3820-3820
Open Access | Times Cited: 17

Showing 17 citing articles:

Current status, challenges, and prospects of data-driven urban energy modeling: A review of machine learning methods
Prajowal Manandhar, Hasan Rafiq, Edwin Rodríguez-Ubiñas
Energy Reports (2023) Vol. 9, pp. 2757-2776
Open Access | Times Cited: 30
A clustering fractional-order grey model in short-term electrical load forecasting
Yu Xiang, Lihua Lu, Jianming Qi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Short-Term Electricity Demand Forecasting: Impact Analysis of Temperature for Thailand
Kamal Chapagain, Somsak Kittipiyakul, Pisut Kulthanavit
Energies (2020) Vol. 13, Iss. 10, pp. 2498-2498
Open Access | Times Cited: 36
Interpretable Short-Term Electrical Load Forecasting Scheme Using Cubist
Jihoon Moon, Sungwoo Park, Seungmin Rho, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 18
Impact Study of Temperature on the Time Series Electricity Demand of Urban Nepal for Short-Term Load Forecasting
Yaju Rajbhandari, Anup Marahatta, Bishal Ghimire, et al.
Applied System Innovation (2021) Vol. 4, Iss. 3, pp. 43-43
Open Access | Times Cited: 22
Forecasting Short-Term Electricity Load Using Validated Ensemble Learning
W. G. C. A. Sankalpa, Somsak Kittipiyakul, Seksan Laitrakun
Energies (2022) Vol. 15, Iss. 22, pp. 8567-8567
Open Access | Times Cited: 10
Advancing ensemble learning techniques for residential building electricity consumption forecasting: Insight from explainable artificial intelligence
Jihoon Moon, Muazzam Maqsood, Dayeong So, et al.
PLoS ONE (2024) Vol. 19, Iss. 11, pp. e0307654-e0307654
Open Access | Times Cited: 1
Short-term Electricity Demand Forecasting using Deep Neural Networks: An analysis for Thai data
Kamal Chapagain, Samundra Gurung, Pisut Kulthanavit, et al.
(2023)
Open Access | Times Cited: 3
The Scoring Mechanism of Players after Game Based on Cluster Regression Analysis Model
Xu Jin, Chao Yi
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-7
Open Access | Times Cited: 8
Research on a Charging Mechanism of Electric Vehicles for Photovoltaic Nearby Consumption Strategy
Qingsu He, Muqing Wu, Pei Sun, et al.
Electronics (2022) Vol. 11, Iss. 20, pp. 3407-3407
Open Access | Times Cited: 5
Sparse Variational Gaussian Process with Dynamic Kernel for Electricity Demand Forecasting
Muluken Regas Eressa, Hakim Badis, Laurent George, et al.
2022 IEEE 7th International Energy Conference (ENERGYCON) (2022) Vol. 38, pp. 1-6
Closed Access | Times Cited: 3
TASE-Net: A Short-Term Load Forecasting Model Based on Temperature Accumulation Sequence Effect
Lisen Zhao, Lihua Lü, Yu Xiang, et al.
(2024), pp. 285-298
Closed Access
Xu Weight is All that Models Need! A Short-Term Power Load Forecasting Method Based on a Novel Adaptive Feature Selection Method and Xu Weight
Jingqi Xu, Xueman Wang, Hui Hou
(2024)
Closed Access
Multi-user Load Forecasting Method Based on Multi-scenario Algorithm Models
Jinlong Sun, Guangjun He, Chao Xiao, et al.
(2024), pp. 763-770
Closed Access
Short-Term Load Forecasting Method Based on Deep Reinforcement Learning for Smart Grid
Wei Guo, Kai Zhang, Xinjie Wei, et al.
Mobile Information Systems (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 4
Grid Development Stages and Saturation Load Forecasting based on Logistic Model
Peng Li, Chengzhou Wei, Huixuan Li, et al.
2022 International Conference on Artificial Intelligence in Everything (AIE) (2022), pp. 27-31
Closed Access | Times Cited: 2
A Weekday and Weekend Separation-Based Algorithm for Short-Term Load Forecasting
Sang Woo Shim, Sun Young Hwang, Da-Han Lee, et al.
IFAC-PapersOnLine (2023) Vol. 56, Iss. 2, pp. 8018-8023
Open Access
Medium- and Long- Term Electricity Load Forecasting Based on ARIMA-GM-LSTM
Chao Luo, Ni Tian, Lingyun Chen, et al.
2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) (2023), pp. 4318-4324
Closed Access
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