Pyvorin for Smart Grid

Load Forecasting

Predict electricity demand by region and time with compiled regression models.

def forecast_load(historical, temperature, hour):
    base = historical[hour]
    adjustment = 0.02 * (temperature - 20)
    return base * (1 + adjustment)

Demand Response

Optimise load shedding and incentive distribution.

Grid Stability

Frequency and voltage stability analysis.