Energies | Highly Cited Papers Published in 2024 in the “Energy and Buildings” Section

1. “Digital Twin Framework for Built Environment: A Review of Key Enablers”
by Giuseppe Piras, Sofia Agostinelli and Francesco Muzi
Energies 2024, 17(2), 436; https://doi.org/10.3390/en17020436
Available online: https://www.mdpi.com/1996-1073/17/2/436

2. “Machine Learning-Based Forecasting of Temperature and Solar Irradiance for Photovoltaic Systems”
by Wassila Tercha, Sid Ahmed Tadjer, Fathia Chekired and Laurent Canale
Energies 2024, 17(5), 1124; https://doi.org/10.3390/en17051124
Available online: https://www.mdpi.com/1996-1073/17/5/1124

3. “BIM Integration with XAI Using LIME and MOO for Automated Green Building Energy Performance Analysis”
by Abdul Mateen Khan, Muhammad Abubakar Tariq, Sardar Kashif Ur Rehman, Talha Saeed, Fahad K. Alqahtani and Mohamed Sherif
Energies 2024, 17(13), 3295; https://doi.org/10.3390/en17133295
Available online: https://www.mdpi.com/1996-1073/17/13/3295

4. “Improving the Indoor Air Quality of Office Buildings in the Post-Pandemic Era—Impact on Energy Consumption and Costs”
by Diana D’Agostino, Federico Minelli, Francesco Minichiello and Maddalena Musella
Energies 2024, 17(4), 855; https://doi.org/10.3390/en17040855
Available online: https://www.mdpi.com/1996-1073/17/4/855

5. “Energy Management in Modern Buildings Based on Demand Prediction and Machine Learning—A Review”
by Seyed Morteza Moghimi, Thomas Aaron Gulliver and Ilamparithi Thirumai Chelvan
Energies 2024, 17(3), 555; https://doi.org/10.3390/en17030555
Available online: https://www.mdpi.com/1996-1073/17/3/555

6. “Heat Transfer through Double-Chamber Glass Unit with Low-Emission Coating”
by Hanna Koshlak, Borys Basok and Borys Davydenko
Energies 2024, 17(5), 1100; https://doi.org/10.3390/en17051100
Available online: https://www.mdpi.com/1996-1073/17/5/1100

7. “Optimizing Building Short-Term Load Forecasting: A Comparative Analysis of Machine Learning Models”
by Paraskevas Koukaras, Akeem Mustapha, Aristeidis Mystakidis and Christos Tjortjis
Energies 2024, 17(6), 1450; https://doi.org/10.3390/en17061450
Available online: https://www.mdpi.com/1996-1073/17/6/1450

8. “Implementation of Positive Energy Districts in European Cities: A Systematic Literature Review to Identify the Effective Integration of the Concept into the Existing Energy Systems”
by Paola Clerici Maestosi, Monica Salvia, Filomena Pietrapertosa, Federica Romagnoli and Michela Pirro
Energies 2024, 17(3), 707; https://doi.org/10.3390/en17030707
Available online: https://www.mdpi.com/1996-1073/17/3/707

9. “Toward Prediction of Energy Consumption Peaks and Timestamping in Commercial Supermarkets Using Deep Learning”
by Mengchen Zhao, Santiago Gomez-Rosero, Hooman Nouraei, Craig Zych, Miriam A. M. Capretz and Ayan Sadhu
Energies 2024, 17(7), 1672; https://doi.org/10.3390/en17071672
Available online: https://www.mdpi.com/1996-1073/17/7/1672

10. “Artificial Neural Network Applications for Energy Management in Buildings: Current Trends and Future Directions”
by Panagiotis Michailidis, Iakovos Michailidis, Socratis Gkelios and Elias Kosmatopoulos
Energies 2024, 17(3), 570; https://doi.org/10.3390/en17030570
Available online: https://www.mdpi.com/1996-1073/17/3/570