Energy Demand Modeling with Noisy Input-Output Variables

Lov Kumar Kher, Fereidoon P. Sioshansi and Soroosh Sorooshian

The Energy Journal, 1987, vol. 8, issue 4, 33-50

Abstract: One of the most important challenges facing energy analysts is to predict future energy consumption levels. The volatility of energy prices following the 1973 oil embargo and the unexpected elasticity of demand to higher prices caught most energy forecasters off the mark (see Energy Daily, "How It Didn't Turn Out: The Forecasters Who Failed," 1986). The same can be said of electricity forecasters who consistently overshot growth rates for over a decade despite compelling signs to lower their projections (Uhler and Nelson, 1985), (see Figure 1).

Keywords: Electricity demand modeling; Forecasting; Noisy input-output variables (search for similar items in EconPapers)
Date: 1987
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.5547/ISSN0195-6574-EJ-Vol8-No4-4 (text/html)

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:sae:enejou:v:8:y:1987:i:4:p:33-50

DOI: 10.5547/ISSN0195-6574-EJ-Vol8-No4-4

Access Statistics for this article

More articles in The Energy Journal
Bibliographic data for series maintained by SAGE Publications ().