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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:

Long-Term Forecasting of Electrical Loads in Kuwait Using Prophet and Holt–Winters Models
Abdulla I. Almazrouee, Abdullah M. Almeshal, Abdulrahman Almutairi, et al.
Applied Sciences (2020) Vol. 10, Iss. 16, pp. 5627-5627
Open Access | Times Cited: 82

Showing 1-25 of 82 citing articles:

Short term electricity load forecasting using hybrid prophet-LSTM model optimized by BPNN
Tasarruf Bashir, Haoyong Chen, Muhammad Faizan Tahir, et al.
Energy Reports (2022) Vol. 8, pp. 1678-1686
Open Access | Times Cited: 163
Novel approaches to optimize the layouts of solar photovoltaic and wind power systems to improve their performance considering limited land availability and site-specific features
Mohammad Al-Khayat, Majed AL-Rasheedi, Yousef S. Al-Qattan
Sustainable Energy Technologies and Assessments (2025) Vol. 74, pp. 104189-104189
Closed Access | Times Cited: 1
An adaptive backpropagation algorithm for long-term electricity load forecasting
Nooriya A. Mohammed, Ammar Al‐Bazi
Neural Computing and Applications (2021) Vol. 34, Iss. 1, pp. 477-491
Open Access | Times Cited: 66
District heating load forecasting with a hybrid model based on LightGBM and FB-prophet
Asim Shakeel, Daotong Chong, Jinshi Wang
Journal of Cleaner Production (2023) Vol. 409, pp. 137130-137130
Closed Access | Times Cited: 33
Load forecasting of district heating system based on improved FB-Prophet model
Asim Shakeel, Daotong Chong, Jinshi Wang
Energy (2023) Vol. 278, pp. 127637-127637
Closed Access | Times Cited: 21
A hybrid long-term industrial electrical load forecasting model using optimized ANFIS with gene expression programming
Mutiu Shola Bakare, Abubakar Abdulkarim, Aliyu Nuhu Shuaibu, et al.
Energy Reports (2024) Vol. 11, pp. 5831-5844
Open Access | Times Cited: 8
Modeling Energy Demand—A Systematic Literature Review
Paul Verwiebe, Stephan Seim, Simon Burges, et al.
Energies (2021) Vol. 14, Iss. 23, pp. 7859-7859
Open Access | Times Cited: 51
Energy Consumption Forecasting for the Digital-Twin Model of the Building
Joanna Henzel, Łukasz Wróbel, Marcin Fice, et al.
Energies (2022) Vol. 15, Iss. 12, pp. 4318-4318
Open Access | Times Cited: 34
Statistical Comparison of Time Series Models for Forecasting Brazilian Monthly Energy Demand Using Economic, Industrial, and Climatic Exogenous Variables
André Luiz Marques Serrano, Gabriel Arquelau Pimenta Rodrigues, Patrícia Helena dos Santos Martins, et al.
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5846-5846
Open Access | Times Cited: 7
Quantum support vector machine for forecasting house energy consumption: a comparative study with deep learning models
Karan Kumar K, Mounica Nutakki, Sriranga Suprabhath Koduru, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 6
LSTM vs. Prophet: Achieving Superior Accuracy in Dynamic Electricity Demand Forecasting
Saleh Albahli
Energies (2025) Vol. 18, Iss. 2, pp. 278-278
Open Access
Multi-step ahead forecasting for electric power load using an ensemble model
Yubo Zhao, Ni Guo, Wei Chen, et al.
Expert Systems with Applications (2022) Vol. 211, pp. 118649-118649
Closed Access | Times Cited: 22
Optimizing home energy management: Robust and efficient solutions powered by attention networks
Mounica Nutakki, Srihari Mandava
Heliyon (2024) Vol. 10, Iss. 4, pp. e26397-e26397
Open Access | Times Cited: 4
Analysis of aggregated load consumption forecasting in short, medium and long term horizons using Dynamic Mode Decomposition
Marc Carrillo Muñoz, Mònica Aragüés‐Peñalba, Antonio E. Saldaña-González
Energy Reports (2024) Vol. 12, pp. 1000-1013
Closed Access | Times Cited: 4
Application of Shape Functions to the Calculation of an Annual Electricity Demand Forecast
Miguel Ceceñas-Falcón, Uriel I. Lezama-Lope
WSEAS TRANSACTIONS ON POWER SYSTEMS (2025) Vol. 20, pp. 42-53
Open Access
Forecasting Ethanol and Gasoline Consumption in Brazil: Advanced Temporal Models for Sustainable Energy Management
André Luiz Marques Serrano, Patrícia Helena dos Santos Martins, Guilherme Fay Vergara, et al.
Energies (2025) Vol. 18, Iss. 6, pp. 1501-1501
Open Access
A Deep Learning Approach for Peak Load Forecasting: A Case Study on Panama
Bibi Ibrahim, Luis Rabelo
Energies (2021) Vol. 14, Iss. 11, pp. 3039-3039
Open Access | Times Cited: 29
Digital twin modeling for district heating network based on hydraulic resistance identification and heat load prediction
Xuejing Zheng, Zhiyuan Shi, Yaran Wang, et al.
Energy (2023) Vol. 288, pp. 129726-129726
Closed Access | Times Cited: 11
Forecasting highly fluctuating electricity load using machine learning models based on multimillion observations
Mohamed Abdallah, Manar Abu Talib, Mariam Hosny, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101707-101707
Closed Access | Times Cited: 18
Forecasting Long-Term Electricity Consumption in Saudi Arabia Based on Statistical and Machine Learning Algorithms to Enhance Electric Power Supply Management
Salma Hamad Almuhaini, Nahid Sultana
Energies (2023) Vol. 16, Iss. 4, pp. 2035-2035
Open Access | Times Cited: 9
Prediction of Energy Consumption on Example of Heterogenic Commercial Buildings
Kazimierz Kawa, Rafał Mularczyk, Waldemar Bauer, et al.
Energies (2024) Vol. 17, Iss. 13, pp. 3220-3220
Open Access | Times Cited: 3
Electricity Consumption Forecasting Based on a Bidirectional Long-Short-Term Memory Artificial Neural Network
Dana-Mihaela Petroșanu, Alexandru Pîrjan
Sustainability (2020) Vol. 13, Iss. 1, pp. 104-104
Open Access | Times Cited: 23
Time-Varying approaches for Long-Term Electric Load Forecasting under economic shocks
Thangjam Aditya, Sanjita Jaipuria, Pradeep Kumar Dadabada
Applied Energy (2023) Vol. 333, pp. 120602-120602
Closed Access | Times Cited: 7
An advanced kernel search optimization for dynamic economic emission dispatch with new energy sources
Ruyi Dong, Lixun Sun, Zhennao Cai, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 160, pp. 110085-110085
Open Access | Times Cited: 2
Long-term degradation prediction and assessment with heteroscedasticity telemetry data based on GRU-GARCH and MD hybrid method: An application for satellite
Laifa Tao, Tong Zhang, Di Peng, et al.
Aerospace Science and Technology (2021) Vol. 115, pp. 106826-106826
Closed Access | Times Cited: 17
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