Access Statistics
for the journal article
- An Intelligent Regression-Based Approach for Predicting a Geothermal Heat Exchanger’s Behavior in a Bioclimatic House Context
- Antonio Díaz-Longueira, Manuel Rubiños, Paula Arcano-Bea, Jose Luis Calvo-Rolle, Héctor Quintián and Francisco Zayas-Gato
- Energies from MDPI
- Energies from MDPI
RePEc statistics are gathered once a month from the participating services. The statistics show abstract views at the RePEc services and file downloads originated from the RePEc services.
| Month | Downloads | Abstract Views |
|---|---|---|
| 2024-06 | 0 | 0 |
| 2024-07 | 0 | 0 |
| 2024-08 | 0 | 0 |
| 2024-09 | 0 | 0 |
| 2024-10 | 0 | 0 |
| 2024-11 | 0 | 0 |
| 2024-12 | 0 | 0 |
| 2025-01 | 0 | 0 |
| 2025-02 | 0 | 0 |
| 2025-03 | 0 | 0 |
| 2025-04 | 0 | 0 |
| 2025-05 | 0 | 0 |
| 2025-06 | 0 | 0 |
| 2025-07 | 0 | 0 |
| 2025-08 | 0 | 0 |
Top Working Papers
Top Journal Articles
Top Books
Top Chapters
Top Software Items
Top Working Paper series and Journals
View journal article details at EconPapers
View rankings for journal articles in this series
View statistics for this Journal
LogEc is hosted by the
Örebro University School of Business.
Questions or comments? Please see our explanation of how the statistics are collected or e-mail