Component estimation for electricity market data: Deterministic or stochastic?

A-Tier
Journal: Energy Economics
Year: 2018
Volume: 74
Issue: C
Pages: 13-37

Score contribution per author:

2.011 = (α=2.01 / 2 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Electricity market time series include several systematic components describing the long-term dynamics, the annual, weekly and daily periodicities, calendar effects, jumps, etc. As a result, modelling electricity variables requires the estimation of these components. For this purpose two main approaches have been proposed in the literature: the deterministic and the stochastic. Although an inappropriate modelling of systematic components could have important consequences on the prediction of loads and prices, in the literature it has not yet been assessed, which approach is more appropriate for electricity markets time series.

Technical Details

RePEc Handle
repec:eee:eneeco:v:74:y:2018:i:c:p:13-37
Journal Field
Energy
Author Count
2
Added to Database
2026-01-25