- 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 chiller (step 1 and 2)
- Inputs: "Chiller1_full.csv"
- Try different methods, evaluate best learning model on test set
- Perform optimization, get optimized chiller variables
- 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