EconPapers    
Economics at your fingertips  
 

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
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0957178722001114
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:juipol:v:80:y:2023:i:c:s0957178722001114

DOI: 10.1016/j.jup.2022.101447

Access Statistics for this article

Utilities Policy is currently edited by Beecher, Janice

More articles in Utilities Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:juipol:v:80:y:2023:i:c:s0957178722001114