Energy Consumption Challenge Game

Score

Prediction points

Level

Energy analyst

Accuracy

—

Average result

Streak

Strong forecasts

Credits

500

Upgrade budget

Energy saved

Simulated kWh

Prediction result

Submit a forecast to reveal consumption, error, score, and explanations.

Round 1

CURRENT CHALLENGE

Study the building, then predict demand.

Use environmental, building, and usage controls before submitting.

MODEL CONFIDENCE

—

Actual consumptionHidden

Your prediction—

Absolute error—

Round score—

Live building simulation

Canvas activity reflects weather, occupancy, HVAC, lighting, solar, and battery behaviour.

Yellow: lighting Blue: HVAC Green: renewable flow Red: peak demand

Prediction controls

Configure the scenario, choose a forecasting method, and enter your estimate.

Temperature 31°C

Humidity 55%

Solar radiation 640 W/m²

Wind speed 12 km/h

Weather condition

SeasonDaylight hours

Scenario library

Building typeFloor area (m²)

Floors

Age

Energy rating

Insulation 75%

Window ratio 35%

HVAC systemHVAC efficiency

Solar panels

Solar capacity (kW)

Battery storage

Battery capacity (kWh)

Occupants 180

Occupancy schedule

Day typeOperating hours

Lighting use 62%

HVAC use 78%

Appliance load 68%

Computer load 72%

Standby load 14%

Peak activity period

Electricity tariff ($/kWh)Comfort target

Prediction targetForecasting model

Game modeDifficulty

Your prediction

kWh

Model suggestion: Generate to view

Time remaining: No limit

Analytics laboratory

Inspect demand, predictions, feature contributions, renewables, errors, and progress.

Dataset laboratory

Generate fictional records, add noise or missing values, and export training data.

Dataset size

Noise level (%)

Missing values (%)

Import CSV dataset

No dataset generatedTrain 80% / Test 20%

#	Temp	Humidity	Occupants	HVAC	Appliances	Solar	Consumption
Generate fictional data to populate this table.

Scenario briefing

Review mission, event conditions, and important signals.

Smart OfficeIntermediate

Predict daily electricity demand while maintaining balanced comfort and managing renewable output.

No active event

Random events can alter demand unexpectedly.

Round preparation

Inspect at least one input group.

Energy-saving upgrades

Buy upgrades with credits. Their effects influence future rounds.

Missions and rewards

Complete objectives to unlock badges and analyst ranks.

Prediction explanation

Understand which features increased or reduced electricity use.

Complete a prediction to view feature-level explanations.

Accessibility and game settings

Adjust motion, contrast, audio, animation speed, and storage.

High contrast

Reduced animation

Sound feedback

Animation speed

Learning guide

Core concepts and keyboard shortcuts.

Cooling demand rises when temperature exceeds comfort conditions.
Occupancy affects lighting, plug loads, ventilation, and hot water.
Better insulation lowers heating and cooling requirements.
Solar generation offsets grid demand during brighter hours.
Prediction error measures the difference from actual consumption.

Enter submit prediction R new round H hint