Load forecasting minimizes utility risk by predicting future consumption of commodities transmitted or delivered by the utility. Techniques include price elasticity, weather and demand response/load analysis, and renewable generation predictive modeling. Forecasts must use regional customer load data, with time series customer load profiles. Accurate forecasts require adjustments for seasonality. Distribution load forecasting must be reconciled with distribution network configuration as part of the distribution circuit load measurements.
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