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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:

Pandemic-Aware Day-Ahead Demand Forecasting Using Ensemble Learning
Ali Arjomandi‐Nezhad, Amirhossein Ahmadi, Saman Taheri, et al.
IEEE Access (2022) Vol. 10, pp. 7098-7106
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Model predictive control of heating, ventilation, and air conditioning (HVAC) systems: A state-of-the-art review
Saman Taheri, Paniz Hosseini, Ali Razban
Journal of Building Engineering (2022) Vol. 60, pp. 105067-105067
Open Access | Times Cited: 137
Privacy-preserving federated learning: Application to behind-the-meter solar photovoltaic generation forecasting
Paniz Hosseini, Saman Taheri, Javid Akhavan, et al.
Energy Conversion and Management (2023) Vol. 283, pp. 116900-116900
Open Access | Times Cited: 25
Uncertainty management in electricity demand forecasting with machine learning and ensemble learning: Case studies of COVID-19 in the US metropolitans
Mohammed Rashad Baker, Kamal H. Jihad, Hussein Al-bayaty, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106350-106350
Closed Access | Times Cited: 25
Building heating load forecasting based on the theory of transient heat transfer and deep learning
Zekun Shi, Ruifan Zheng, Rendong Shen, et al.
Energy and Buildings (2024) Vol. 313, pp. 114290-114290
Closed Access | Times Cited: 9
Towards various occupants with different thermal comfort requirements: A deep reinforcement learning approach combined with a dynamic PMV model for HVAC control in buildings
Zekun Shi, Ruifan Zheng, Jun Zhao, et al.
Energy Conversion and Management (2024) Vol. 320, pp. 118995-118995
Closed Access | Times Cited: 9
Recent Advances on Capacitive Proximity Sensors: From Design and Materials to Creative Applications
Reza Moheimani, Paniz Hosseini, Saeed Mohammadi, et al.
C – Journal of Carbon Research (2022) Vol. 8, Iss. 2, pp. 26-26
Open Access | Times Cited: 30
A transient simulation for a novel solar-geothermal cogeneration system with a selection of heat transfer fluids using thermodynamics analysis and ANN intelligent (AI) modeling
Ehsanolah Assareh, Siamak Hoseinzadeh, Neha Agarwal, et al.
Applied Thermal Engineering (2023) Vol. 231, pp. 120698-120698
Open Access | Times Cited: 19
Deep Federated Learning-Based Privacy-Preserving Wind Power Forecasting
Amirhossein Ahmadi, Mohammad Talaei, Masod Sadipour, et al.
IEEE Access (2022) Vol. 11, pp. 39521-39530
Open Access | Times Cited: 26
Power system flexibility analysis using net-load forecasting based on deep learning considering distributed energy sources and electric vehicles
Ehsan Toghiany Rizi, Mohammad Rastegar, Ali Forootani
Computers & Electrical Engineering (2024) Vol. 117, pp. 109305-109305
Closed Access | Times Cited: 5
Performance evaluation of LSTM neural networks for consumption prediction
Davi Guimarães da Silva, Marla Teresinha Barbosa Geller, Mauro Sérgio dos Santos Moura, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2022) Vol. 2, pp. 100030-100030
Open Access | Times Cited: 20
Cyber Risk Identification and Classification‐Based Load Forecasting Tool for Pandemic Situations
Kuldeep Singh Shivran, Kyle Swire‐Thompson, Neetesh Saxena, et al.
IET Cyber-Physical Systems Theory & Applications (2025) Vol. 10, Iss. 1
Open Access
Enhancing grid stability and efficiency in buildings through forecasting and intelligent energy management of distributed energy resources
S. Senthil Kumar, C. Srinivasan, P. Sridhar
Electrical Engineering (2024)
Closed Access | Times Cited: 2
Strategies for predictive power: Machine learning models in city-scale load forecasting
Orhan Nooruldeen, Mohammed Rashad Baker, A.M. Aleesa, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2023) Vol. 6, pp. 100392-100392
Open Access | Times Cited: 6
A Comparative Analysis of Supervised Machine Learning Algorithms for Electricity Demand Forecasting
Keerti Rawal, Aijaz Ahmad
2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T) (2022) Vol. 12, pp. 1-6
Closed Access | Times Cited: 9
Deep Learning Networks for Short Term Load Forecasting
Asha Ali, E A Jasmin
(2023), pp. 1-5
Closed Access | Times Cited: 4
Short Term Load Forecasting Using Machine Learning Algorithms: A Case Study in Turkey
Mikail Pürlü, Cenk Andiç, Belgin Emre Türkay, et al.
(2022), pp. 13-18
Closed Access | Times Cited: 5
Model to Predict Incoming Tech Support Demand in a Banking Company Applying CRISP-DM and Machine Learning
Jeison Vásquez, Piero Ojeda, Lenis Wong
(2024), pp. 768-774
Closed Access
A Systematic Review of the Literature on the Use of Artificial Intelligence in Forecasting the Demand for Products and Services in Various Sectors
José Rolando Neira Villar, Miguel Ángel Cano Lengua
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 3
Open Access
Comparison of Different Types of Machine Learning Methods for Short-Term Prediction of Electricity Demand in a Small-Scale Distributed Energy System from High Dimensional Data
Hyojae Lee, Shunsaku Tsuda, Keisuke Kameda, et al.
(2024)
Closed Access
Performance Analysis of Voting Regression-Based Ensemble Learning Methods for Food Demand Forecasting
R. D. St. Denis, D. Keerthana
International Journal of Data Informatics and Intelligent Computing (2024) Vol. 3, Iss. 2, pp. 34-41
Open Access
Input data importance analysis for various machine learning techniques in task of short-term electricity demand forecasting in industrial plant
Łukasz Rokicki, P. Piotrowski, Marcin Kopyt, et al.
(2024), pp. 396-401
Closed Access
A Demand Forecasting Strategy Based on a Retrofit Architecture for Remote Monitoring of Legacy Building Circuits
Rubens de Andrade Fernandes, Raimundo Cláudio Souza Gomes, Carlos Tavares da Costa, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 11161-11161
Open Access | Times Cited: 1
Graph Convolutional Network based Electricity Demand Forecasting in Power Distribution Networks
Jun Xiong, Haisheng Hong, Chende Xu, et al.
2022 International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS) (2022) Vol. 36, pp. 104-109
Closed Access | Times Cited: 1
International Conference on Power, Control, and Sustainable Energy Systems
Venkatesh Boddapati, D B Prakash, P. Sanjeevikumar
(2023), pp. 1-345
Open Access
Advanced Deep Learning and NLP for Enhanced Food Delivery: Future Insights on Demand Prediction, Route Optimization, Personalization, and Customer Support
Md. Keramot Hossain Mondal, Amitabha Mondal, Sandip Chakraborty, et al.
(2023), pp. 1-5
Closed Access
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