Data-Driven Modelling of Non-Domestic Buildings Energy Performance Supporting Building Retrofit Planning /
| 主要な著者: | , |
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| 団体著者: | |
| 要約: | XIV, 153 p. 48 illus. in color. text |
| 言語: | 英語 |
| 出版事項: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
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| 版: | 1st ed. 2021. |
| シリーズ: | Green Energy and Technology,
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| 主題: | |
| オンライン・アクセス: | https://doi.org/10.1007/978-3-030-64751-3 |
| フォーマット: | 電子媒体 図書 |
目次:
- Introduction
- Building Energy Performance Assessment
- Machine Learning for Building Energy Forecasting
- Building Retrofit Planning
- Machine Learning Models for Prediction of Building Energy Performance
- Building Energy Data Driven Model Improved by Multi-Objective Optimisation
- Modelling Energy Performance of Non-Domestic Buildings.