Simulating Brazilian Electricity Demand Under Climate Change Scenarios

Long-term load forecasts are important for planning the development of the electric power infrastructure. We present a methodology for simulating ensembles of daily long-term load forecasts for Brazil under climate change scenarios. For certain applications, it is important to choose an ensemble approach in order to estimate the (conditional) probability distribution of the load. High temporal resolution is necessary in order to preserve key features of the electricity demand that are particularly important in the face of increasing penetration of intermittent renewable power generation.


Issue Date:
2015-09
Publication Type:
Working or Discussion Paper
PURL Identifier:
http://purl.umn.edu/208689
Total Pages:
66
Series Statement:
Working Papers in Applied Economics
WP - 01/2015




 Record created 2017-04-01, last modified 2017-08-28

Fulltext:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)