When One Size No Longer Fits All – Electric Load Forecasting With a Geographic Hierarchy
Sponsored By: SAS
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“With the deployment of smart grid technologies, many utilities can now take advantage of hourly or sub-hourly data from millions of smart meters. There are many upsides to this – such as the fact that utilities can potentially charge customers different rates based on the time of day they use electricity. However, there are downsides as well.”
Download this whitepaper to know:
- Know what are the electric load forecasting challenges
- Know more about the Selected Forecasting approach
- Read the case study of Independent System Operator of New England (ISO-NE)
- Learn why the days of one-size-fits-all models are gone for the utility forecaster
- Understand why forecasters must be able to decide which models – or combinations of models – are best”
