EnergyOS: Agentic AI for Energy & Grid Stability

Energy Trading AI provides 72-hour price forecasting, optimal dispatch scheduling, and position risk management for all energy products. Intraday reoptimisation: when wind generation exceeds forecast by 8%, the AI recalculates the optimal generation mix and dispatch schedule within 60 seconds — capturing the price opportunity before the window closes. Position risk: VAR (Value at Risk) is calculated continuously across all open positions and compared against board-approved risk limits. When a position approaches 80% of limit, the trader receives an alert with recommended action. All major trading decisions (positions above pre-approved thresholds) require trader approval before execution. The AI provides intelligence — licensed traders make market commitments.

Renewable Forecasting AI achieves ±4% accuracy on 15-minute generation forecasts — vs ±18% from persistence methods. More accurate forecasting means: (1) Less balancing mechanism cost — fewer expensive corrective trades to balance supply and demand. (2) Less curtailment — better generation predictions allow grid operators to accept more renewable output without stability risk. (3) Better trading — knowing 72 hours ahead that wind will underperform enables pre-hedging at better prices. The forecasting model integrates numerical weather prediction models, satellite cloud imagery, turbine SCADA data, and grid frequency signals. Model updates occur every 15 minutes as new weather data becomes available.

Grid Intelligence monitors load, generation, and network flows in real time — maintaining stability as renewable penetration increases and the traditional inertia from fossil fuel plants reduces. Load forecasting: 15-minute ahead load forecast enables proactive rather than reactive balancing. Congestion prediction: transmission constraint identification 4 hours ahead allows redispatch to be scheduled at lower cost. Demand response: industrial flexibility assets are aggregated and dispatched to provide frequency response within 30 seconds of a trigger signal — faster than gas peakers and at lower cost. All grid control actions are recommended to licensed system controllers — human authority over grid operations is maintained at all times.

Decarbonisation Intelligence models the optimal pathway to net zero for the generation portfolio — balancing asset retirement, new build, power purchase agreements, and carbon credit strategies. For each carbon reduction option (fuel switch, CCS retrofit, battery storage, PPA), the AI models the cost, emissions impact, grid constraint implications, and regulatory timeline. Carbon credit optimisation: monitoring carbon markets for optimal buy/sell timing on voluntary and compliance credits. Scope 1/2/3 emissions tracked continuously from generation asset data, supply chain, and corporate operations. TCFD scenario analysis: physical and transition risks under 1.5°C and 2°C pathways modelled for board-level reporting. All decarbonisation investment decisions require board approval.