Generator Fuel CPH Predictor

• Tech Stack: Python, Tkinter, Sklearn, Excel
• Github URL: Project Link

The Fuel Consumption Per Hour predictor project consists of two sections.

In the first section, an Excel file containing readings of the generator's fuel level is used to calculate the consumed fuel. By analyzing the fuel level data, which exhibits triangular wave cycles as the fuel is consumed and refilled, a Python code is developed to calculate the consumed fuel, disregarding fuel refilling and any data anomalies or noise.

The second section focuses on predicting fuel consumption based on the generator's readings. Using a supervised learning technique called Linear Regression, the generator's properties such as KVa, load percentages (50%, 75%, and 100%), and power factor are inputted into the model. With these ratings, the project is able to predict the generator's fuel consumption per hour.