Energy Trading
Tesla uses its Autobidder platform with Powerwall and Megapack to automate energy trading and coordinate storage through cloud-based management, demand forecasting and virtual power plants.
Data requirements
- Demand data (tabular) — Forecasting and trading depend on demand patterns and related operational data.
- Asset and system data from storage resources (tabular) — Powerwall and Megapack operations feed the management and optimisation process.
- Grid and distributed resource data (tabular) — Virtual power plant coordination depends on information about distributed assets and grid conditions.
AI methods and techniques
- Automated energy trading — Autobidder uses automation to place or coordinate energy trading decisions.
- Demand forecasting — Forecasting supports trading and storage decisions based on expected load or supply.
- Optimisation — AI helps optimise the use of distributed storage and flexible resources.
Industries
Real-world evidence
1 documented case study on record.
Companies using this: Tesla.
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