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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 electricity load forecasting—A systematic approach from system level to secondary substations
Marco G. Pinheiro, Sara C. Madeira, Alexandre P. Francisco
Applied Energy (2022) Vol. 332, pp. 120493-120493
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Optimization of power system load forecasting and scheduling based on artificial neural networks
Jiangbo Jing, Hongyu Di, Ting Wang, et al.
Energy Informatics (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
A hybrid prediction interval model for short-term electric load forecast using Holt-Winters and Gate Recurrent Unit
Xin He, Wenlu Zhao, Zhijun Gao, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101343-101343
Closed Access | Times Cited: 11
Short-Term Load Forecasting Based on Optimized Random Forest and Optimal Feature Selection
Bianca Magalhães, Pedro Bento, José Pombo, et al.
Energies (2024) Vol. 17, Iss. 8, pp. 1926-1926
Open Access | Times Cited: 8
Seq2Seq-LSTM With Attention for Electricity Load Forecasting in Brazil
William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, et al.
IEEE Access (2024) Vol. 12, pp. 30020-30029
Open Access | Times Cited: 7
A Comprehensive Survey on Load Forecasting Hybrid Models: Navigating the Futuristic Demand Response Patterns through Experts and Intelligent Systems
Kinza Fida, Usman Abbasi, Muhammad Adnan, et al.
Results in Engineering (2024) Vol. 23, pp. 102773-102773
Open Access | Times Cited: 7
An adaptive load forecasting model in microgrids: A cloud-edge orchestrated approach tailored for accuracy, real-time response, and privacy needs
Yan Zhao, J.L. Shi, Donglai Wang, et al.
International Journal of Electrical Power & Energy Systems (2025) Vol. 165, pp. 110490-110490
Closed Access
Instantaneous Electricity Peak Load Forecasting Using Optimization and Machine Learning
Mustafa Saglam, Xiaojing Lv, Catalina Spataru, et al.
Energies (2024) Vol. 17, Iss. 4, pp. 777-777
Open Access | Times Cited: 4
Forecasting Regional Energy Consumption via Jellyfish Search-Optimized Convolutional-Based Deep Learning
Jui‐Sheng Chou, Ngoc-Quang Nguyen
International Journal of Energy Research (2023) Vol. 2023, pp. 1-25
Open Access | Times Cited: 10
Generating Synthetic Electricity Load Time Series at District Scale Using Probabilistic Forecasts
Lucas Richter, Tom Bender, Steve Lenk, et al.
Energies (2024) Vol. 17, Iss. 7, pp. 1634-1634
Open Access | Times Cited: 3
Centralised vs. decentralised federated load forecasting in smart buildings: Who holds the key to adversarial attack robustness?
Habib Ullah Manzoor, Sajjad Hussain, David Flynn, et al.
Energy and Buildings (2024) Vol. 324, pp. 114871-114871
Open Access | Times Cited: 3
Methods and attributes for customer-centric dynamic electricity tariff design: A review
Tasmeea Rahman, Mohammad Lutfi Othman, Samsul Bahari Mohd Noor, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 192, pp. 114228-114228
Closed Access | Times Cited: 9
Attention-Focused Machine Learning Method to Provide the Stochastic Load Forecasts Needed by Electric Utilities for the Evolving Electrical Distribution System
John O’Donnell, Wencong Su
Energies (2023) Vol. 16, Iss. 15, pp. 5661-5661
Open Access | Times Cited: 5
An Overview of Supervised Machine Learning Approaches for Applications in Active Distribution Networks
Sepideh Radhoush, Bradley M. Whitaker, M.H. Nehrir
Energies (2023) Vol. 16, Iss. 16, pp. 5972-5972
Open Access | Times Cited: 5
Load Profile Forecasting of Small and Medium-sized Businesses For Flexibility Programs
Maitha Al Shimmari, Jan-Peter Calliess, David Wallom
(2024), pp. 1-5
Closed Access | Times Cited: 1
Short-term power grid load forecasting based on optimized VMD and GA-BP
X. S. Wang, Xiaoming Li, Jian Wang, et al.
International Journal of Low-Carbon Technologies (2024) Vol. 19, pp. 980-986
Open Access | Times Cited: 1
Short-Term Electrical Load Forecasting Based on Fuzzy Rough Set Feature Selection and Multi-kernel Extreme Learning Machine
Gang Liu, Zhiyuan Jin, HongZhong Yu
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 1
Advancing Electric Load Forecasting: Leveraging Federated Learning for Distributed, Non-Stationary, and Discontinuous Time Series
Lucas Richter, Steve Lenk, Peter Bretschneider
Smart Cities (2024) Vol. 7, Iss. 4, pp. 2065-2093
Open Access | Times Cited: 1
Short-term power load forecasting based on hybrid feature extraction and parallel BiLSTM network
Jiacai Han, Pan Zeng
Computers & Electrical Engineering (2024) Vol. 119, pp. 109631-109631
Closed Access | Times Cited: 1
A New Combined PV Output Power Forecasting Model Based on Optimized LSTM Network
Azim Heydari, Farshid Keynia, Afef Fekih, et al.
2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET) (2023), pp. 1-6
Closed Access | Times Cited: 3
An Identification Method for Irregular Components Related to Terminal Blocks in Equipment Cabinet of Power Substation
Weiguo Cao, Zhong Chen, Xuhui Deng, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7739-7739
Open Access | Times Cited: 2
A Stochastic Load Forecasting Approach to Prevent Transformer Failures and Power Quality Issues Amid the Evolving Electrical Demands Facing Utilities
John O’Donnell, Wencong Su
Energies (2023) Vol. 16, Iss. 21, pp. 7251-7251
Open Access | Times Cited: 2
Optimizing Smart Home Energy Forecasting: Unveiling Superiority among RBFNN, ESN, and LSTM
Mouad Bhih, Zouhair Elamrani Abou Elassad, Mohammed Ameksa, et al.
(2024) Vol. 19, pp. 1-7
Closed Access
Medium-Term Load Forecasting with Power Market Survey: GEPCO Case Study
Sheeza Mariam Nawaz, Ubaid Ahmed, Adil Amin, et al.
Academia green energy. (2024) Vol. 1, Iss. 1
Open Access
IISE PG&E Energy Analytics Challenge 2024: Forecasting Day-Ahead Electricity Prices
Ahmed Aziz Ezzat, Mahan A. Mansouri, Murat Yildirim, et al.
IISE Transactions (2024), pp. 1-19
Closed Access
Towards efficient model recommendation: An innovative hybrid graph neural network approach integrating multisignature analysis of electrical time series
Keerti Rawal, Aijaz Ahmad
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 8, pp. 100544-100544
Open Access
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