Anticipating electricity prices for future needs – Implications for liberalised retail markets

Tian Sheng Allan Loi and Jia Le Ng

Applied Energy, 2018, vol. 212, issue C, 244-264

Abstract: Electricity price forecasting is a mature research area, with various techniques already developed in recent years to help both generators and retailers hedge against price and load associated risks. This paper aims to add on to the forecasting literature, with emphasis on the importance of making such forecasts transparent to facilitate countries' transitions towards more liberalised retail electricity markets.

Keywords: Electricity price forecasting; Retail competition; Welfare implications; Retail tariffs; Singapore electricity market; ARIMA and GARCH modelling (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261917316938
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:212:y:2018:i:c:p:244-264

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2017.11.092

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().