Energy Efficiency
About
This study looked into assessing the heating load and cooling load requirements of buildings (that is, energy efficiency) as a function of building parameters.
We perform energy analysis using 12 different building shapes simulated in Ecotect. The buildings differ with respect to the glazing area, the glazing area distribution, and the orientation, amongst other parameters. We simulate various settings as functions of the afore-mentioned characteristics to obtain 768 building shapes. The dataset comprises 768 samples and 8 features, aiming to predict two real valued responses. It can also be used as a multi-class classification problem if the response is rounded to the nearest integer.
Subject Area
Computer Science
Instances
768
Features
8
Data Types
Multivariate
Tasks
Classification, Regression
Feature Types
Integer, Continuous
Features
| Name | Role | Type | Units | Missing Values | Description |
|---|---|---|---|---|---|
| X1 | Feature | Continuous | - | No | |
| X2 | Feature | Continuous | - | No | |
| X3 | Feature | Continuous | - | No | |
| X4 | Feature | Continuous | - | No | |
| X5 | Feature | Continuous | - | No | |
| X6 | Feature | Integer | - | No | |
| X7 | Feature | Continuous | - | No | |
| X8 | Feature | Integer | - | No | |
| Y1 | Target | Continuous | - | No | |
| Y2 | Target | Continuous | - | No |
Introductory Paper
Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools
A. Tsanas, Angeliki Xifara. 2012.
Energy and Buildings, vol. 49