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UID:GLW_UNI_MS_WEBEVT_11672@maths-stats.gla.ac.uk
DTSTAMP:19700101T000000Z
DTSTART:20260515T100000Z
DTEND:20260515T110000Z
SUMMARY:Statistics Seminar: From biased point forecasts of electricity demand to accurate predictive distributions: Using LASSO  and GAMLSS - Katarzyna Chec (Wroclaw University of Science and Technology)
DESCRIPTION:Abstract: Electricity demand forecasts are crucial for power system operations. Market participants frequently rely on day-ahead predictions provided by Transmission System Operators (TSOs)\, but these can be systematically biased and – as recent studies report – may be improved using parsimonious autoregressive models. Despite the fact that many operational and...\N\NMore information: http://www.gla.ac.uk/schools/mathematicsstatistics/events/details/?id=11672
LOCATION:Maths 311B
SEQUENCE:2
STATUS:CONFIRMED
CLASS:PUBLIC
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