Demand for grid-supplied electricity in the presence of distributed solar energy resources: Evidence from New York City

Kevin Forbes

Utilities Policy, 2023, vol. 80, issue C

Abstract: The increasing utilization of distributed energy resources such as behind-the-meter solar has given rise to a grid-supplied load profile conditional on solar conditions that are difficult to forecast using conventional methods. As a result, the accuracy of the load forecasts is reduced, representing a possible operational challenge to system operators. This paper presents a method to resolve this challenge using New York City electricity zone data. The analysis presented in this paper demonstrates that the load forecasting challenges associated with behind-the-meter solar can be successfully addressed using econometric time-series methods and better forecast information.

Keywords: Solar energy forecasting; Load energy forecasting; Duck curve; Electricity markets; Distributed energy resources; Behind-the-meter solar generation (search for similar items in EconPapers)
JEL-codes: Q42 Q47 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:juipol:v:80:y:2023:i:c:s0957178722001114

DOI: 10.1016/j.jup.2022.101447

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