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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 residential load forecasting: Impact of calendar effects and forecast granularity
Peter Lusis, Kaveh Khalilpour, Lachlan L. H. Andrew, et al.
Applied Energy (2017) Vol. 205, pp. 654-669
Closed Access | Times Cited: 284

Showing 1-25 of 284 citing articles:

A review of machine learning in building load prediction
Liang Zhang, Jin Wen, Yanfei Li, et al.
Applied Energy (2021) Vol. 285, pp. 116452-116452
Open Access | Times Cited: 440
Probabilistic individual load forecasting using pinball loss guided LSTM
Yi Wang, Dahua Gan, Mingyang Sun, et al.
Applied Energy (2018) Vol. 235, pp. 10-20
Closed Access | Times Cited: 358
Vector field-based support vector regression for building energy consumption prediction
Hai Zhong, Jiajun Wang, Hongjie Jia, et al.
Applied Energy (2019) Vol. 242, pp. 403-414
Closed Access | Times Cited: 319
Assessment of deep recurrent neural network-based strategies for short-term building energy predictions
Cheng Fan, Jiayuan Wang, Wenjie Gang, et al.
Applied Energy (2018) Vol. 236, pp. 700-710
Closed Access | Times Cited: 297
Short term electricity load forecasting using a hybrid model
Jinliang Zhang, Yi‐Ming Wei, Dezhi Li, et al.
Energy (2018) Vol. 158, pp. 774-781
Open Access | Times Cited: 274
Integration of new evolutionary approach with artificial neural network for solving short term load forecast problem
Priyanka Singh, Pragya Dwivedi
Applied Energy (2018) Vol. 217, pp. 537-549
Closed Access | Times Cited: 212
Electric load forecasting by complete ensemble empirical mode decomposition adaptive noise and support vector regression with quantum-based dragonfly algorithm
Zichen Zhang, Wei‐Chiang Hong
Nonlinear Dynamics (2019) Vol. 98, Iss. 2, pp. 1107-1136
Closed Access | Times Cited: 195
Machine learning-based thermal response time ahead energy demand prediction for building heating systems
Yabin Guo, Jiangyu Wang, Huanxin Chen, et al.
Applied Energy (2018) Vol. 221, pp. 16-27
Closed 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: 177
Short term load forecasting based on phase space reconstruction algorithm and bi-square kernel regression model
Guo‐Feng Fan, Li‐Ling Peng, Wei‐Chiang Hong
Applied Energy (2018) Vol. 224, pp. 13-33
Closed Access | Times Cited: 173
A building energy consumption prediction model based on rough set theory and deep learning algorithms
Lei Lei, Wei Chen, Bing Wu, et al.
Energy and Buildings (2021) Vol. 240, pp. 110886-110886
Open Access | Times Cited: 140
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
Interpretable building energy consumption forecasting using spectral clustering algorithm and temporal fusion transformers architecture
Peijun Zheng, Heng Zhou, Jiang Liu, et al.
Applied Energy (2023) Vol. 349, pp. 121607-121607
Closed Access | Times Cited: 48
Review of Family-Level Short-Term Load Forecasting and Its Application in Household Energy Management System
Ping Ma, Shuhui Cui, Mingshuai Chen, et al.
Energies (2023) Vol. 16, Iss. 15, pp. 5809-5809
Open Access | Times Cited: 46
Combination of short-term load forecasting models based on a stacking ensemble approach
Jihoon Moon, Seungwon Jung, Jehyeok Rew, et al.
Energy and Buildings (2020) Vol. 216, pp. 109921-109921
Closed Access | Times Cited: 123
Electric Load Forecasting by Hybrid Self-Recurrent Support Vector Regression Model With Variational Mode Decomposition and Improved Cuckoo Search Algorithm
Zichen Zhang, Wei‐Chiang Hong, Junchi Li
IEEE Access (2020) Vol. 8, pp. 14642-14658
Open Access | Times Cited: 122
A long short-term memory artificial neural network to predict daily HVAC consumption in buildings
Rafael Sendra-Arranz, Álvaro Gutiérrez
Energy and Buildings (2020) Vol. 216, pp. 109952-109952
Closed Access | Times Cited: 122
Toward efficient energy systems based on natural gas consumption prediction with LSTM Recurrent Neural Networks
Oussama Laib, Mohamed Tarek Khadir, Lyudmila Mihaylova
Energy (2019) Vol. 177, pp. 530-542
Closed Access | Times Cited: 119
Computational Intelligence on Short-Term Load Forecasting: A Methodological Overview
Narjes Fallah, Mehdi Ganjkhani, Shahab S. Band, et al.
Energies (2019) Vol. 12, Iss. 3, pp. 393-393
Open Access | Times Cited: 114
Season specific approach for short-term load forecasting based on hybrid FA-SVM and similarity concept
Mayur Barman, Nalin B. Dev Choudhury
Energy (2019) Vol. 174, pp. 886-896
Closed Access | Times Cited: 112
A Kalman filter-based bottom-up approach for household short-term load forecast
Zhuang Zheng, Hainan Chen, Xiaowei Luo
Applied Energy (2019) Vol. 250, pp. 882-894
Closed Access | Times Cited: 112
Residential probabilistic load forecasting: A method using Gaussian process designed for electric load data
Mahmoud Shepero, Dennis van der Meer, Joakim Munkhammar, et al.
Applied Energy (2018) Vol. 218, pp. 159-172
Closed Access | Times Cited: 104
A novel hybridization of nonlinear grey model and linear ARIMA residual correction for forecasting U.S. shale oil production
Qiang Wang, Xiaoxing Song, Rongrong Li
Energy (2018) Vol. 165, pp. 1320-1331
Closed Access | Times Cited: 100
Review of low voltage load forecasting: Methods, applications, and recommendations
Stephen Haben, Siddharth Arora, Georgios Giasemidis, et al.
Applied Energy (2021) Vol. 304, pp. 117798-117798
Open Access | Times Cited: 92
Real-Time Stochastic Optimization of Energy Storage Management Using Deep Learning-Based Forecasts for Residential PV Applications
Faeza Hafiz, M A Awal, Anderson Rodrigo de Queiroz, et al.
IEEE Transactions on Industry Applications (2020) Vol. 56, Iss. 3, pp. 2216-2226
Open Access | Times Cited: 91
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