The cost of day-ahead solar forecasting errors in the United States

• Published in: Solar energy Vol. 231; no. C; pp. 846 - 856
• Main Authors: Wang, Yuhan, Millstein, Dev, Mills, Andrew D., Jeong, Seongeun, Ancell, Amos
• Format: Journal Article
• Language: English
• Published: New York Elsevier Ltd 01.01.2022; Pergamon Press Inc; Elsevier
• Subjects: Atmospheric models; Costs; Electric power generation; Electricity; Energy costs; Errors; Mathematical models; Numerical prediction; Numerical weather forecasting; Penetration; Power plants; Pricing; Real time; Solar energy; Solar power plants; Weather forecasting; England; California; United Kingdom > UK; United States > US

•The costs of solar forecast errors were assessed using nodal energy market prices.•Error costs were examined across 667 plants from 2012 through 2019.•Publicly available solar power forecast errors cost less than $1/MWh on average.•Publicly available solar power forecasts provide value over persist...