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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:

Examining performance of aggregation algorithms for neural network-based electricity demand forecasting
Saima Hassan, Abbas Khosravi, Jafreezal Jaafar
International Journal of Electrical Power & Energy Systems (2014) Vol. 64, pp. 1098-1105
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Machine learning ensembles for wind power prediction
Justin Heinermann, Oliver Krämer
Renewable Energy (2015) Vol. 89, pp. 671-679
Open Access | Times Cited: 214
An overview of energy demand forecasting methods published in 2005–2015
Iman Ghalehkhondabi, Ehsan Ardjmand, Gary R. Weckman, et al.
Energy Systems (2016) Vol. 8, Iss. 2, pp. 411-447
Closed Access | Times Cited: 195
A deep learning model for short-term power load and probability density forecasting
Zhifeng Guo, Kaile Zhou, Xiaoling Zhang, et al.
Energy (2018) Vol. 160, pp. 1186-1200
Closed Access | Times Cited: 170
Enhanced ensemble structures using wavelet neural networks applied to short-term load forecasting
Gabriel Trierweiler Ribeiro, Viviana Cocco Mariani, Leandro dos Santos Coelho
Engineering Applications of Artificial Intelligence (2019) Vol. 82, pp. 272-281
Closed Access | Times Cited: 130
Prediction of occupancy level and energy consumption in office building using blind system identification and neural networks
Yixuan Wei, Liang Xia, Song Pan, et al.
Applied Energy (2019) Vol. 240, pp. 276-294
Closed Access | Times Cited: 124
An Ensemble Framework for Day-Ahead Forecast of PV Output Power in Smart Grids
Muhammad Qamar Raza, N. Mithulananthan, Jiaming Li, et al.
IEEE Transactions on Industrial Informatics (2018) Vol. 15, Iss. 8, pp. 4624-4634
Open Access | Times Cited: 88
Forecasting based on an ensemble Autoregressive Moving Average - Adaptive neuro - Fuzzy inference system – Neural network - Genetic Algorithm Framework
Francisco Prado Prado, Marcel C. Minutolo, Werner Kristjanpoller
Energy (2020) Vol. 197, pp. 117159-117159
Closed Access | Times Cited: 78
Intrusion Detection in SCADA Based Power Grids: Recursive Feature Elimination Model With Majority Vote Ensemble Algorithm
Darshana Upadhyay, Jaume Manero, Marzia Zaman, et al.
IEEE Transactions on Network Science and Engineering (2021) Vol. 8, Iss. 3, pp. 2559-2574
Open Access | Times Cited: 70
A systematic design of interval type-2 fuzzy logic system using extreme learning machine for electricity load demand forecasting
Saima Hassan, Abbas Khosravi, Jafreezal Jaafar, et al.
International Journal of Electrical Power & Energy Systems (2016) Vol. 82, pp. 1-10
Closed Access | Times Cited: 74
Solar output power forecast using an ensemble framework with neural predictors and Bayesian adaptive combination
Muhammad Qamar Raza, N. Mithulananthan, Alex Summerfield
Solar Energy (2018) Vol. 166, pp. 226-241
Closed Access | Times Cited: 64
Towards novel deep neuroevolution models: chaotic levy grasshopper optimization for short-term wind speed forecasting
Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Mahdi Khodayar, et al.
Engineering With Computers (2021) Vol. 38, Iss. S3, pp. 1787-1811
Closed Access | Times Cited: 52
A Hybrid Short-Term Load Forecasting Approach for Individual Residential Customer
Xin Lin, Ramon Zamora, Craig Baguley, et al.
IEEE Transactions on Power Delivery (2022) Vol. 38, Iss. 1, pp. 26-37
Closed Access | Times Cited: 30
Analyzing the influence of geopolitical risks on European power prices using a multiresolution causal neural network
Foued Saâdaoui, Sami Ben Jabeur
Energy Economics (2023) Vol. 124, pp. 106793-106793
Closed Access | Times Cited: 17
Capacity Configuration of CAES Based on Nonparametric Kernel Density Estimation
Yang Cheng, Shan Lv, Hao Li, et al.
Lecture notes in electrical engineering (2025), pp. 203-219
Closed Access
Multivariate Ensemble Forecast Framework for Demand Prediction of Anomalous Days
Muhammad Qamar Raza, N. Mithulananthan, Jiaming Li, et al.
IEEE Transactions on Sustainable Energy (2018) Vol. 11, Iss. 1, pp. 27-36
Open Access | Times Cited: 57
RoCoF Restrictive Planning Framework and Wind Speed Forecast Informed Operation Strategy of Energy Storage System
Umer Akram, N. Mithulananthan, Muhammad Qamar Raza, et al.
IEEE Transactions on Power Systems (2020) Vol. 36, Iss. 1, pp. 224-234
Closed Access | Times Cited: 44
Bayesian Optimized Echo State Network Applied to Short-Term Load Forecasting
Gabriel Trierweiler Ribeiro, João Guilherme Sauer, Naylene Fraccanabbia, et al.
Energies (2020) Vol. 13, Iss. 9, pp. 2390-2390
Open Access | Times Cited: 42
An empirical analysis of applications of artificial intelligence algorithms in wind power technology innovation during 1980–2017
Mekyung Lee, Gang He
Journal of Cleaner Production (2021) Vol. 297, pp. 126536-126536
Closed Access | Times Cited: 36
Demand forecast of PV integrated bioclimatic buildings using ensemble framework
Muhammad Qamar Raza, N. Mithulananthan, Chandima Ekanayake
Applied Energy (2017) Vol. 208, pp. 1626-1638
Closed Access | Times Cited: 47
Short term load forecasting with markovian switching distributed deep belief networks
Yi Dong, Zhen Dong, Tianqiao Zhao, et al.
International Journal of Electrical Power & Energy Systems (2021) Vol. 130, pp. 106942-106942
Open Access | Times Cited: 30
Bayesian forecasting in economics and finance: A modern review
Gael M. Martin, David T. Frazier, Worapree Maneesoonthorn, et al.
International Journal of Forecasting (2023) Vol. 40, Iss. 2, pp. 811-839
Open Access | Times Cited: 9
Assessment of aggregation strategies for machine-learning based short-term load forecasting
Cong Feng, Jie Zhang
Electric Power Systems Research (2020) Vol. 184, pp. 106304-106304
Closed Access | Times Cited: 24
Deep Representation Learning using Multilayer Perceptron and Stacked Autoencoder for Recommendation Systems
Amir Khani Yengikand, Majid Meghdadi, Sajad Ahmadian, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2021), pp. 2485-2491
Closed Access | Times Cited: 22
Solar photovoltaic power forecasting for microgrid energy management system using an ensemble forecasting strategy
Usman Bashir Tayab, Fuwen Yang, Ahmed Sayed M. Metwally, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2022) Vol. 44, Iss. 4, pp. 10045-10070
Closed Access | Times Cited: 11
A Simple Method of Residential Electricity Load Forecasting by Improved Bayesian Neural Networks
Shubin Zheng, Qianwen Zhong, Lele Peng, et al.
Mathematical Problems in Engineering (2018) Vol. 2018, pp. 1-16
Open Access | Times Cited: 18
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