The AI Smart Meter: Future Prediction
Nevada has world-class solar and geothermal resources—ranking fourth nationally for solar generation (31% of the state's electricity) and second nationally for geothermal capacity (8%, representing 25% of US utility-scale geothermal)—yet still relies on imported natural gas for 53% of its power because renewables cannot meet total demand. The AI Smart Meter project teaches students to forecast energy patterns with AI and test predictions in a Digital Twin—building understanding of why energy source, reliability, and cost shape infrastructure decisions. Grade 7–8 students work with solar panels to forecast generation, connecting directly to Nevada's major renewable resource and understanding why forecasting matters when local supply cannot cover what the state needs.
Mission spotlight
The Energy Cost of AI
Students train an AI predictor on energy data, discovering what it takes to reliably forecast a resource that changes hour by hour with the weather. They use real solar panels to forecast generation, connecting to Nevada's rank as the nation's fourth-largest solar generator. Their digital twin shows how solar forecasting shapes whether the grid must import power to meet demand.
Included in LEA curriculum