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Mission Mode 5

Power to Predict: LINEAR REGRESSION

STORY

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Liam always admired his dad — a city engineer who kept the power grid running smoothly. One evening, while reviewing schematics, his dad explained how each subline powers homes, hospitals, and traffic systems, and that misallocation causes waste or outages. Captain T joined them as TRIOE, the city's data-powered superhero, appeared to help analyze real-time energy patterns using cloud-powered linear regression.

Data Whisperer Challenge
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Mission Objectives

0/3

Complete the AI workflow: upload data, select linear regression model, and test predictions for energy optimization.

Upload a file
Choose an AI model
Run and test

Choose Appropriate Model
Test Model (Hardcoded)
Adjust values and test energy predictions
Predicted Savings
Run test to see potential savings
Optimal temperature range: Not calculated yet
Test value: Click "Test" button to run prediction

Data

Energy Dataset

Comprehensive analysis of energy patterns across different facility zones. View or download the dataset for detailed insights.

Upload Data

Drag & drop your Excel file here

or

Excel files (.xlsx) only

Max file size: 10MB
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Serial Monitor

Python 3.9.0 (default, Oct 9 2020, 15:07:54) [GCC 9.3.0] on linux Type "help", "copyright", "credits" or "license" for more information. Waiting for test execution... Click the "Test" button to run the linear regression analysis.
Smart Agriculture Mission