https://github.com/lovesaroha/energy-efficiency-training
Training a keras model to recognize Cooling Load and Heating Load in order to classify incoming bulding features (e.g. wall area, roof area) as input.
https://github.com/lovesaroha/energy-efficiency-training
keras machine-learning python tensorflow
Last synced: 11 months ago
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Training a keras model to recognize Cooling Load and Heating Load in order to classify incoming bulding features (e.g. wall area, roof area) as input.
- Host: GitHub
- URL: https://github.com/lovesaroha/energy-efficiency-training
- Owner: lovesaroha
- License: gpl-3.0
- Created: 2021-10-01T11:53:46.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-10-01T11:54:23.000Z (over 4 years ago)
- Last Synced: 2025-01-12T19:23:38.533Z (about 1 year ago)
- Topics: keras, machine-learning, python, tensorflow
- Language: Python
- Homepage:
- Size: 12.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Energy-Efficiency-Training
Training a keras model to recognize Cooling Load and Heating Load in order to classify incoming bulding features (e.g. wall area, roof area) as input.
Training data from [machine-learning-databases/00242/ENB2012_data.xlsx](https://archive.ics.uci.edu/ml/machine-learning-databases/00242/ENB2012_data.xlsx)
## Requirements
- Python 3 or higher.
## Packages
### Numpy
```bash
py -m pip install numpy
```
### Tensorflow
```bash
py -m pip install tensorflow
```
### Pandas
```bash
py -m pip install pandas
```
### Sklearn
```bash
py -m pip install sklearn
```
## Start Training
```bash
py training.py
```