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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 novel seasonal segmentation approach for day-ahead load forecasting
Abhishek Sharma, Sachin K. Jain
Energy (2022) Vol. 257, pp. 124752-124752
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Robust framework based on hybrid deep learning approach for short term load forecasting of building electricity demand
Charan Sekhar, Ratna Dahiya
Energy (2023) Vol. 268, pp. 126660-126660
Closed Access | Times Cited: 109
A comprehensive review on deep learning approaches for short-term load forecasting
Yavuz Eren, İbrahim Beklan Küçükdemiral
Renewable and Sustainable Energy Reviews (2023) Vol. 189, pp. 114031-114031
Open Access | Times Cited: 61
Incorporating air temperature into mid-term electricity load forecasting models using time-series regressions and neural networks
Niaz Bashiri Behmiri, Carlo Fezzi, Francesco Ravazzolo
Energy (2023) Vol. 278, pp. 127831-127831
Open Access | Times Cited: 37
Short-term load forecasting method based on secondary decomposition and improved hierarchical clustering
Wenting Zha, Yongqiang Ji, Liang Chen
Results in Engineering (2024) Vol. 22, pp. 101993-101993
Open Access | Times Cited: 13
Short-term integrated forecasting method for wind power, solar power, and system load based on variable attention mechanism and multi-task learning
Han Wang, Jie Yan, Jiawei Zhang, et al.
Energy (2024) Vol. 304, pp. 132188-132188
Closed Access | Times Cited: 10
An improved hybrid model for short term power load prediction
Jinliang Zhang, Wang Siya, Zhongfu Tan, et al.
Energy (2022) Vol. 268, pp. 126561-126561
Closed Access | Times Cited: 28
Predicting energy consumption of chiller plant using WOA-BiLSTM hybrid prediction model: A case study for a hospital building
Yang Song, Hui Xie, Zhengwei Zhu, et al.
Energy and Buildings (2023) Vol. 300, pp. 113642-113642
Closed Access | Times Cited: 20
Integrated Approaches in Resilient Hierarchical Load Forecasting via TCN and Optimal Valley Filling Based Demand Response Application
A. Selim Türkoğlu, Burcu Erkmen, Yavuz Eren, et al.
Applied Energy (2024) Vol. 360, pp. 122722-122722
Closed Access | Times Cited: 6
Short-term energy consumption prediction for university dormitory buildings based on energy consumption grouping by considering meteorological factors and teaching schedules
Ying Yu, Chenfei Zhang, Guipan Wang, et al.
Energy and Buildings (2024) Vol. 312, pp. 114219-114219
Closed Access | Times Cited: 5
Advanced short-term load forecasting for residential demand response: An XGBoost-ANN ensemble approach
G. Harikrishnan, Sasidharan Sreedharan, Natarajan Chellappa
Electric Power Systems Research (2025) Vol. 242, pp. 111476-111476
Closed Access
Seasonality Effect Exploration for Energy Demand Forecasting in Smart Grids
Sabereh Taghdisi Rastkar, Danial Zendehdel, Antonino Capillo, et al.
Studies in computational intelligence (2025), pp. 211-223
Closed Access
A Hybrid Feature Pyramid CNN-LSTM Model with Seasonal Inflection Month Correction for Medium- and Long-Term Power Load Forecasting
Zizhen Cheng, Li Wang, Yumeng Yang
Energies (2023) Vol. 16, Iss. 7, pp. 3081-3081
Open Access | Times Cited: 12
Online public opinion prediction based on a novel seasonal grey decomposition and ensemble model
Qi Su, Shuli Yan, Lifeng Wu, et al.
Expert Systems with Applications (2022) Vol. 210, pp. 118341-118341
Closed Access | Times Cited: 16
A hybrid prediction method for short‐term load based on temporal convolutional networks and attentional mechanisms
Min Li, Hangwei Tian, Qinghui Chen, et al.
IET Generation Transmission & Distribution (2023) Vol. 18, Iss. 5, pp. 885-898
Open Access | Times Cited: 7
Understanding multi-scale spatiotemporal energy consumption data: A visual analysis approach
Junqi Wu, Zhibin Niu, Xiang Li, et al.
Energy (2022) Vol. 263, pp. 125939-125939
Open Access | Times Cited: 11
Inadequate load output diagnosis of ultra-supercritical thermal power units based on MIWOA multi-label random forest
Mingzhu Tang, Zixin Liang, Dongxu Ji, et al.
Applied Thermal Engineering (2023) Vol. 227, pp. 120386-120386
Closed Access | Times Cited: 6
Advancements in Household Load Forecasting: Deep Learning Model with Hyperparameter Optimization
Hamdi A. Al-Jamimi, Galal M. BinMakhashen, Muhammed Y. Worku, et al.
Electronics (2023) Vol. 12, Iss. 24, pp. 4909-4909
Open Access | Times Cited: 6
Ultra-short-term load prediction of integrated energy system based on load similar fluctuation set classification
Mao Yang, Dongxu Liu, Xin Su, et al.
Frontiers in Energy Research (2023) Vol. 10
Open Access | Times Cited: 5
Potential sanctions on the Northeast Asia supergrid: A network theory perspective
Sunjin Kim, Daehyeon Park, Doojin Ryu
Energy (2024) Vol. 302, pp. 131655-131655
Closed Access | Times Cited: 1
A hybrid framework for day-ahead electricity spot-price forecasting: A case study in China
Siwan Huang, Jianheng Shi, Baoyue Wang, et al.
Applied Energy (2024) Vol. 373, pp. 123863-123863
Closed Access | Times Cited: 1
Short-term Power Load Forecasting Based on TCN-BiLSTM-Attention and Multi-feature Fusion
Feng Yang, Jiashan Zhu, Pengjin Qiu, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 1
Recurrence Multilinear Regression Technique for Improving Accuracy of Energy Prediction in Power Systems
Quota Alief Sias, Rahma Gantassi, Yonghoon Choi, et al.
Energies (2024) Vol. 17, Iss. 20, pp. 5186-5186
Open Access | Times Cited: 1
TS2ARCformer: A Multi-Dimensional Time Series Forecasting Framework for Short-Term Load Prediction
Songjiang Li, Wenxin Zhang, Peng Wang
Energies (2023) Vol. 16, Iss. 15, pp. 5825-5825
Open Access | Times Cited: 2
Predictive models for short-term load forecasting in the UK’s electrical grid
Yusuf A. Sha’aban
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0297267-e0297267
Open Access
Short-Term Load Forecasting for Indian Railways Using Machine Learning Models
Vishnu Vardhan Gurrala, Abhishek Sharma, Gururaj Mirle Vishwanath
(2024), pp. 1-6
Closed Access
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