AGENT 43 / 11 · RETAIL & E-COMMERCE · GRID & RESOURCE MANAGEMENT

Renewable Energy Output Predictor

Projects solar and wind generation from high-resolution micro-weather data down to the site level, tightening forecast error well below traditional regional weather models.

READS FROMMicro-weather feeds, asset capacity data

MCP SERVEREnergy Data Server

MODELRouted to reasoning-tier open model

HANDS OFF TOGrid Load Balancing Agent, Virtual Power Plant Coordinator

RUN THE AGENT

Set your fleet, model the forecast accuracy gain

Adjust capacity and forecast error rates and the agent recalculates imbalance cost avoided instantly.

ASSUMPTIONS

Installed solar capacity (MW) 150

Installed wind capacity (MW) 220

Expected solar capacity factor 18%

Expected wind capacity factor 32%

Baseline forecast error 18%

Agent forecast error 8%

Grid imbalance penalty (£/MWh) 45

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Total expected daily output

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Forecast error reduction

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Daily imbalance cost avoided

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Annual savings

Metric	Value

HOW IT WORKS

What the agent actually does

1. Pull micro-weather data	Ingests high-resolution irradiance, cloud cover and wind speed forecasts down to the site level.
2. Model output	Projects generation for every solar and wind asset against its specific capacity factor and current conditions.
3. Tighten the forecast	Reduces forecast error versus traditional regional weather models, cutting the volume traded at imbalance penalty rates.
4. Hand off	Feeds the tightened forecast to the Grid Load Balancing Agent and the Virtual Power Plant Coordinator's dispatch planning.