Implementation of predictive control in a commercial building energy management system using neural networks-Reference-Cited by-同舟云学术

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Implementation of predictive control in a commercial building energy management system using neural networks

Published:2017-09 Issue: Volume:151 Page:511-519
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Macarulla Marcel,Casals Miquel,Forcada Núria,Gangolells Marta

Funder

Josep Sanmiquel from the Universitat Politècnica de Catalunya

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference36 articles.

1. A review on buildings energy consumption information;Pérez-Lombard;Energy Build.,2008

2. Financial Support for Energy Efficiency in Buildings, Report from the Commision to the European Parliament and the Council;European Comission,2013

3. Development of a new energy benchmark for improving the operational rating system of office buildings using various data-mining techniques;Park;Appl. Energy,2016

4. Life cycle energy analysis of buildings: an overview;Ramesh;Energy Build.,2010

5. Life cycle energy (LCEA) and carbon dioxide emissions (LCCO2A) assessment of two residential buildings in Gaziantep, Turkey;Atmaca;Energy Build.,2015

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