New model could improve energy demand predictions in New York State

Rolling blackouts. Erratic prices. Limited storage for excess energy generated by renewables. All afflict the U.S. energy system. Ideas for improvement range from homeowners going off the grid to redesigning the system entirely. A study from UB and Purdue University researchers offers a more practical suggestion: improve energy demand forecasting with predictive models that capture the interdependencies among different energy sectors and end users such as single-family households or factories.

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