**Commenced**in January 2007

**Frequency:**Monthly

**Edition:**International

**Paper Count:**33035

##### Fast Short-Term Electrical Load Forecasting under High Meteorological Variability with a Multiple Equation Time Series Approach

**Authors:**
Charline David,
Alexandre Blondin Massé,
Arnaud Zinflou

**Abstract:**

We present a multiple equation time series approach for the short-term load forecasting applied to the electrical power load consumption for the whole Quebec province, in Canada. More precisely, we take into account three meteorological variables — temperature, cloudiness and wind speed —, and we use meteorological measurements taken at different locations on the territory. Our final model shows an average MAPE score of 1.79% over an 8-years dataset.

**Keywords:**
Short-term load forecasting,
special days,
time series,
multiple equations,
parallelization,
clustering.

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