Computational intelligence modelling based on variables interlinked with behavioral tendencies for energy usage profile – A necessity

Author:

Popoola O.M.

Funder

“The National Research Foundation” of South Africa

DHET-RDG

Centre for Energy and Electric Power, Tshwane University of Technology (TUT), South Africa

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference62 articles.

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2. Stochastic models for building energy predictions based on occupant behaviour assessment;Virote;Energy Build,2012

3. Mahdavi A, Proglhof C. User behaviour and energy performance in buildings. In: Proceedings of the 6th international energy industry conference. TU Vienna; February, 11–13, 2009. [internationalen Engeriewirtschaftsstagung an der TU Wien-IEWT].

4. Sensitivity analysis of the effect of occupant behaviour on the energy consumption of passive house dwellings;Blight;Energy Build,2013

5. Measured and predicted energy demand of a low energy building important aspects when using Building Energy simulations;Karrison;Build Serv Eng Technol,2007

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