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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:

Residential energy consumption forecasting using deep learning models
Paulo Vitor Barbosa Ramos, Saulo Moraes Villela, Walquiria N. Silva, et al.
Applied Energy (2023) Vol. 350, pp. 121705-121705
Closed Access | Times Cited: 24

Showing 24 citing articles:

A comprehensive review of AI-enhanced smart grid integration for hydrogen energy: Advances, challenges, and future prospects
Morteza SaberiKamarposhti, Hesam Kamyab, Santhana Krishnan, et al.
International Journal of Hydrogen Energy (2024) Vol. 67, pp. 1009-1025
Closed Access | Times Cited: 47
An advanced airport terminal cooling load forecasting model integrating SSA and CNN-Transformer
Bochao Chen, Wansheng Yang, Biao Yan, et al.
Energy and Buildings (2024) Vol. 309, pp. 114000-114000
Closed Access | Times Cited: 9
AI-Driven Innovations in Building Energy Management Systems: A Review of Potential Applications and Energy Savings
Dalia Mohammed Talat Ebrahim Ali, Violeta Motuzienė, Rasa Džiugaitė-Tumėnienė
Energies (2024) Vol. 17, Iss. 17, pp. 4277-4277
Open Access | Times Cited: 9
Improved electric load forecasting using quantile long short-term memory network with dual attention mechanism
Shalin Shah, Ubaid Ahmed, Muhammad Bilal, et al.
Energy Reports (2025) Vol. 13, pp. 2343-2353
Closed Access
Deep clustering framework review using multicriteria evaluation
Frédéric Ros, Rabia Riad, Serge Guillaume
Knowledge-Based Systems (2024) Vol. 285, pp. 111315-111315
Closed Access | Times Cited: 4
Modeling and forecasting energy consumption in Algerian residential buildings using a bottom-up GIS approach
Lazher Messoudi, Abderrahmane Gouareh, Belkhir Settou, et al.
Energy and Buildings (2024) Vol. 317, pp. 114370-114370
Closed Access | Times Cited: 3
A Hybrid Machine Learning Approach: Analyzing Energy Potential and Designing Solar Fault Detection for an AIoT-Based Solar–Hydrogen System in a University Setting
Salaki Reynaldo Joshua, An Na Yeon, Sanguk Park, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8573-8573
Open Access | Times Cited: 3
A hybrid load prediction method of office buildings based on physical simulation database and LightGBM algorithm
Huihui Lian, Ying Ji, Menghan Niu, et al.
Applied Energy (2024) Vol. 377, pp. 124620-124620
Closed 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
From irregular to continuous: The deep Koopman model for time series forecasting of energy equipment
Jiaqi Ding, Pu Zhao, Changjun Liu, et al.
Applied Energy (2024) Vol. 364, pp. 123138-123138
Closed Access | Times Cited: 2
A Deep Learning Approach for Short-Term Electricity Demand Forecasting: Analysis of Thailand Data
Ranju Kumari Shiwakoti, Chalie Charoenlarpnopparut, Kamal Chapagain
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 3971-3971
Open Access | Times Cited: 2
Short-Term Residential Load Forecasting via Pooling-Ensemble Model With Smoothing Clustering
Jiang‐Wen Xiao, Hongliang Fang, Yan‐Wu Wang
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 7, pp. 3690-3702
Closed Access | Times Cited: 1
Application of Forecasting Models in Electrical Engineering: A Systematic Literature Review
Zainab Koubaa, Adnen El Amraoui, François Delmotte, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Explainable Approaches for Forecasting Building Electricity Consumption
Nikos Sakkas, Sofia Yfanti, Pooja Shah, et al.
Energies (2023) Vol. 16, Iss. 20, pp. 7210-7210
Open Access | Times Cited: 4
Predicting Households’ Short-Term Power Consumption Utilizing LSTM
Grega Vrbančič, Vili Podgorelec, Lucija Brezočnik
Lecture notes in networks and systems (2024), pp. 39-48
Closed Access
Transformers as a classifier for solar flare time series: a comparative study
Juliana Sabino Ferreira, André Leon Sampaio Gradvohl, Ana Estela Antunes da Silva, et al.
Research Square (Research Square) (2024)
Open Access
A Hybrid Load Prediction Method of Office Buildings Based on Physical Simulation Database and Lightgbm Algorithm
Huihui Lian, Ying Ji, Menghan Niu, et al.
(2024)
Closed Access
Algorithm Application of Machine Learning Algorithms to Predict Energy Demand
M. K. Arabov, A. F. Nazipova, Rustam A. Burnashev
2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM) (2024), pp. 141-145
Closed Access
Short-Term Energy Forecasting to Improve the Estimation of Demand Response Baselines in Residential Neighborhoods: Deep Learning vs. Machine Learning
Abdo Abdullah Ahmed Gassar
Buildings (2024) Vol. 14, Iss. 7, pp. 2242-2242
Open Access
Predicting Energy Consumption for Hybrid Energy Systems toward Sustainable Manufacturing: A Physics-Informed Approach Using Pi-MMoE
Mukun Yuan, Jian Liu, Zhenyuan Chen, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7259-7259
Open Access
Forecasting of Residential Energy Utilisation Based on Regression Machine Learning Schemes
Thapelo Mosetlhe, Adedayo A. Yusuff
Energies (2024) Vol. 17, Iss. 18, pp. 4681-4681
Open Access
Multivariate bidirectional gate recurrent unit for improving accuracy of energy prediction
Quota Alief Sias, Rahma Gantassi, Yonghoon Choi
ICT Express (2024)
Open Access
High-precision energy consumption forecasting for large office building using a signal decomposition-based deep learning approach
Chaofan Wang, Kang cheng Liu, Jieyang Peng, et al.
Energy (2024), pp. 133964-133964
Closed Access
Aoa-Lstm: Arithmetic Optimization Algorithm with Lstm for Short-Term Electricity Price Forecasting
Ashish Prajesh, Prerna Jain, Deepak Ranjan Nayak, et al.
(2023)
Closed Access
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