Hierarchical Multiplicative Model for Characterizing Residential Electricity Consumption-Reference-Cited by-同舟云学术

Hierarchical Multiplicative Model for Characterizing Residential Electricity Consumption

Published:2018-06 Issue:3 Volume:144 Page:04018023
ISSN:0733-9402
Container-title:Journal of Energy Engineering
language:en
Short-container-title:J. Energy Eng.

Author:

Kuusela Pirkko¹,Norros Ilkka²,Reittu Hannu³,Piira Kalevi⁴

Affiliation:

1. Senior Scientist, Big Data Industrial Applications, VTT Technical Research Centre of Finland Ltd., P.O. Box 1000, FI-02044 VTT, Espoo, Finland (corresponding author).

2. Retired, Research Professor, VTT Technical Research Centre of Finland Ltd., P.O. Box 1000, FI-02044 VTT, Espoo, Finland.

3. Senior Scientist, Big Data Industrial Applications, VTT Technical Research Centre of Finland Ltd., P.O. Box 1000, FI-02044 VTT, Espoo, Finland.

4. Senior Scientist, Interactive Buildings, VTT Technical Research Centre of Finland Ltd., P.O. Box 1000, FI-02044 VTT, Espoo, Finland.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Waste Management and Disposal,Energy Engineering and Power Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EY.1943-7897.0000532

Reference24 articles.

1. Revealing household characteristics from smart meter data

2. Chen C. and Cook D. J. (2012). “Behavior-based home energy prediction.” Proc. 8th Int. Conf. on Intelligent Environments (IE) IEEE Piscataway NJ 57–63.

3. Overview and performance assessment of the clustering methods for electrical load pattern grouping

4. Unraveling electricity consumption profiles in households through clusters: Combining smart meters and door-to-door surveys

5. A review and an analysis of the residential electric load curve models

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