Grid Temperature Prediction

This project predicts classroom grid temperatures using a machine learning model.

What it does

• Loads classroom temperature data from the Excel file in the dataset folder
• Trains a RandomForestRegressor model
• Predicts temperatures for 12 grid sensors
• Calculates the average predicted grid temperature
• Saves a comparison plot as predicted_vs_actual.png

Requirements

Install the required Python packages:

python -m pip install pandas numpy matplotlib scikit-learn openpyxl

Run the project

python main.py

Project files

main.py - main script for training, prediction, and plotting

• dataset/ - input Excel dataset
• predicted_vs_actual.png - saved output plot