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An integrated fuzzy regression algorithm for energy consumption estimation with non-stationary data: A case study of Iran

Dates

Year
2010

Citation

Azadeh, A., Saberi, M., and Seraj, O., 2010, An integrated fuzzy regression algorithm for energy consumption estimation with non-stationary data: A case study of Iran: Energy, v. 35, iss. 6, p. 2351-2366.

Summary

Based on the need to reduce CO2 emissions and minimize energy dependency, the EU Member States have set ambitious energy policies goals and have developed respective, specific regulations, in order to improve the energy performance of the building sector. Thus, specific measures regarding the buildings’ envelope, the use of efficient HVAC technologies and the integration of renewable energy systems are being constantly studied and promoted. The effective combination of these three main aspects will consequently result in maximum energy efficiency. Germany has played a key role in this development, with intensive work focusing in the improvement of the energy behaviour of the residential building stock. In this paper, the use of radiative [...]

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  • Western Energy Citation Clearinghouse

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Additional Information

Identifiers

Type Scheme Key
DOI WECC []
ISSN WECC 03605442

Citation Extension

citationTypeJournal Article
journalEnergy
parts
typePages
value2351-2366
typeVolume
value35
typeIssue
value6

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