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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:

Analyzing and Forecasting Electrical Load Consumption in Healthcare Buildings
Rodolfo Gordillo, Luis M. Lopez-Ramos, Sergio Muñoz-Romero, et al.
Energies (2018) Vol. 11, Iss. 3, pp. 493-493
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Methods and Models for Electric Load Forecasting: A Comprehensive Review
M. Hammad, Borut Jereb, Bojan Rosi, et al.
Logistics Supply Chain Sustainability and Global Challenges (2020) Vol. 11, Iss. 1, pp. 51-76
Open Access | Times Cited: 179
Towards developing a systematic knowledge trend for building energy consumption prediction
Qingyao Qiao, Akilu Yunusa‐Kaltungo, R. E. Edwards
Journal of Building Engineering (2020) Vol. 35, pp. 101967-101967
Open Access | Times Cited: 84
Improving the Bi-LSTM model with XGBoost and attention mechanism: A combined approach for short-term power load prediction
Yeming Dai, Qiong Zhou, Mingming Leng, et al.
Applied Soft Computing (2022) Vol. 130, pp. 109632-109632
Closed Access | Times Cited: 64
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
A Review of Energy Consumption Forecasting in Smart Buildings: Methods, Input Variables, Forecasting Horizon and Metrics
Deyslen Mariano-Hernández, Luís Hernández-Callejo, Félix Santos García, et al.
Applied Sciences (2020) Vol. 10, Iss. 23, pp. 8323-8323
Open Access | Times Cited: 33
Comparison of Hospital Building’s Energy Consumption Prediction Using Artificial Neural Networks, ANFIS, and LSTM Network
Dimitrios K. Panagiotou, Anastasios I. Dounis
Energies (2022) Vol. 15, Iss. 17, pp. 6453-6453
Open Access | Times Cited: 21
Using Stacked Long Short Term Memory with Principal Component Analysis for Short Term Prediction of Solar Irradiance based on Weather Patterns
Justin D. de Guia, Ronnie Concepcion, Hilario A. Calinao, et al.
(2020), pp. 946-951
Closed Access | Times Cited: 28
Design of Ensemble Forecasting Models for Home Energy Management Systems
Karol Bot, Samira de Azevedo Santos, Inoussa Habou Laouali, et al.
Energies (2021) Vol. 14, Iss. 22, pp. 7664-7664
Open Access | Times Cited: 19
Electricity Demand Forecasting of Hospital Buildings in Istanbul
Ibrahim Soyler, Ercan İzgi
Sustainability (2022) Vol. 14, Iss. 13, pp. 8187-8187
Open Access | Times Cited: 12
Application of Statistical and Artificial Intelligence Techniques for Medium-Term Electrical Energy Forecasting: A Case Study for a Regional Hospital
Oğuzhan Timur, Kasım Zor, Özgür Çelık, et al.
Journal of Sustainable Development of Energy Water and Environment Systems (2019) Vol. 8, Iss. 3, pp. 520-536
Open Access | Times Cited: 18
A Structured Literature Review and Meta-analysis of Forecasting Methods for Energy Consumption in Smart Buildings
Ajay Kumar, Rainu Nandal, Kamaldeep Joshi
Lecture notes in networks and systems (2024), pp. 37-62
Closed Access | Times Cited: 1
Exploring artificial intelligence methods for energy prediction in healthcare Facilities: An In-Depth extended systematic review
Marjan FatehiJananloo, Helen Stopps, J.J. McArthur
Energy and Buildings (2024) Vol. 320, pp. 114598-114598
Open Access | Times Cited: 1
Study of CO2 emissions from energy consumption in Spanish hospitals
Justo García‐Sanz‐Calcedo
Vibroengineering PROCEDIA (2019) Vol. 26, pp. 46-51
Open Access | Times Cited: 10
Solar Irradiance Prediction Based on Weather Patterns Using Bagging-Based Ensemble Learners with Principal Component Analysis
Justin D. de Guia, Ronnie Concepcion, Hilario A. Calinao, et al.
(2020)
Closed Access | Times Cited: 9
Implementing Data Reduction Strategies for the Optimal Design of Renewable Energy Systems
Jorge Luis Tena-García, Luis Miguel García-Alcala, Dulce Celeste López-Díaz, et al.
Process Integration and Optimization for Sustainability (2021) Vol. 6, Iss. 1, pp. 17-36
Closed Access | Times Cited: 9
Review of Load Forecasting Methods for Electric Vehicle Charging Station
Hengjie Li, Jianghao Zhu, Yun Zhou, et al.
2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) (2022), pp. 1833-1837
Closed Access | Times Cited: 5
Electrical Load Forecasting Methodologies and Approaches
Seemant Tiwari
The Eurasia Proceedings of Science Technology Engineering and Mathematics (2022) Vol. 19, pp. 1-8
Open Access | Times Cited: 4
Short-Term forecasting of photovoltaic power in an isolated area of Ecuador using deep learning techniques
Richard Guanoluisa-Pineda, Alexander Ibarra, Diego Arcos-Avilés, et al.
2022 11th International Conference on Renewable Energy Research and Application (ICRERA) (2022), pp. 408-413
Closed Access | Times Cited: 3
Transforming Finance With Deep Learning Predictions
Ashy Sebastian, Veerta Tantia
Advances in finance, accounting, and economics book series (2024), pp. 227-252
Closed Access
Applying Multi-Task Deep Learning Methods in Electricity Load Forecasting Using Meteorological Factors
Kai-Bin Huang, Tian‐Shyug Lee, Jonathan Lee, et al.
Mathematics (2024) Vol. 12, Iss. 20, pp. 3295-3295
Open Access
Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time-Of-Use Pricing Scheme
Rodolfo Gordillo, Sergio Muñoz-Romero, Diego Arcos–Aviles, et al.
Energies (2018) Vol. 11, Iss. 6, pp. 1454-1454
Open Access | Times Cited: 2
Considering Meteorological Factors and Applying Multi-Task Deep Learning Method in Electricity Load Forecasting
Kai-Bin Huang, Tian‐Shyug Lee, Jonathan Lee, et al.
(2023)
Closed Access
Analyzing and Forecasting Electricity Consumption in Energy-intensive Industries in Rwanda
Daniel Mburamatare, William K. Gboney, Hakizimana Khan Jean de Dieu, et al.
International Journal of Energy Economics and Policy (2022) Vol. 12, Iss. 1, pp. 483-493
Open Access
Overview of the Global Electricity System in Oman Considering Energy Demand Model Forecast
Ahmed Al-Abri, Kenneth E. Okedu
Energy Engineering (2022) Vol. 120, Iss. 2, pp. 409-423
Open Access
Estimation of Electric Load Graphs Correlation by the Principal Components of the Orthogonal Decomposition
Ivan Nadtoka, I. Zvoznikova
2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM) (2021) Vol. 16, pp. 75-79
Closed Access
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