datathon2017

Concatenate Datasets

Inputs: downloaded data from folder data/ with naming convention: "Chiller1_ConFlow_201706.csv" for June 2017
Change the second cell accordingly for the chiller number and datatype.
Combines data from May to November 2017 and puts into one file
Outputs: "data/Chiller1_ConFlow_full.csv"

Inputs: full datasets generated by Concatenate Datasets
Keeps only important columns and concatenates by each minute values from Power/Temp/Conflow/Evaflow
Outputs: "data/Chiller1_full.csv"
Note: NEW Inputs includes external temperature data, saves as "data/Chiller1_full_ext.csv"

Prediction and optimization for cooling tower (step 3 and 4)
Inputs: "Chiller1_full_ext.csv"
Try different methods, evaluate best learning model on test set
Use optimized chiller variables before to predict power and optimize cooling tower variables

Name		Name	Last commit message	Last commit date
Latest commit History 24 Commits
Concatenate Datasets.ipynb		Concatenate Datasets.ipynb
MergeDatatypes.ipynb		MergeDatatypes.ipynb
Prediction-Gradient Boost.ipynb		Prediction-Gradient Boost.ipynb
Prediction-LinearReg-w cooling tower.ipynb		Prediction-LinearReg-w cooling tower.ipynb
Prediction-LinearReg.ipynb		Prediction-LinearReg.ipynb
Prediction-MLP-w cooling tower.ipynb		Prediction-MLP-w cooling tower.ipynb
Prediction-MLP.ipynb		Prediction-MLP.ipynb
Prediction-Random Forest-w cooling tower.ipynb		Prediction-Random Forest-w cooling tower.ipynb
Prediction-Random Forest.ipynb		Prediction-Random Forest.ipynb
README.md		README.md