ENGG 390 Reports (MEM Students)
Degree Program
M.E.M
Year of Graduation
2021
Sponsor
Tabors Rudkevich Caramanis Energy Economic Consulting Newton, MA
Faculty Advisor
John Harris
Document Type
Report
Publication Date
Fall 9-22-2021
Abstract
Newly developed probabilistic load models utilize probabilistic weather forecasts as their main input. In order to determine whether the performance of probabilistic forecasts is adequate to reap the benefits a distribution of values provides, these forecasts must be checked for accuracy of their mean and overall range of values. Probabilistic weather forecasts in MISO for the first 180 days of 2021 on temperature, dew point, and wind speed were analyzed. The use of probabilistic forecasts allows grid operators to increase their confidence in their load prediction models, which can subsequently save cost by allowing higher efficiency in dispatch planning.
Level of Access
Restricted: Campus/Dartmouth Community Only Access
Dartmouth Digital Commons Citation
Tronsson, Hendric, "Probabilistic Forecast Analysis and Verification" (2021). ENGG 390 Reports (MEM Students). 130.
https://digitalcommons.dartmouth.edu/engs390/130
Restricted
Available to Dartmouth community via local IP address.