A methodology for energy multivariate time series forecasting in smart buildings based on feature selection-Reference-Cited by-同舟云学术

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A methodology for energy multivariate time series forecasting in smart buildings based on feature selection

Published:2019-08 Issue: Volume:196 Page:71-82
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

González-Vidal Aurora^ORCID,Jiménez Fernando,Gómez-Skarmeta Antonio F.

Funder

MINECO

Spanish Ministry of Science

European Fund for Regional Development

Publisher

Elsevier BV

Subject

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

Reference64 articles.

1. Opportunities for energy efficiency in smart cities;Akcin,2016

2. Data driven modeling for energy consumption prediction in smart buildings;González-Vidal,2017

3. Big data driven smart energy management: from big data to big insights;Zhou;Renewable Sustainable Energy Rev.,2016

4. Lavastorm, Big data, analytics, and energy consumption, 2014.

5. D. Dua, C. Graff, Uci machine learning repository, 2017.

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