Crossmark

Sensor network driven novel hybrid model based on feature selection and SVR to predict indoor temperature for energy consumption optimisation in smart buildings

Crossref DOI link: https://doi.org/10.1007/s13198-022-01795-y

Published Online: 2022-11-09

Published Print: 2022-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kumar, Sachin https://orcid.org/0000-0002-2150-4502
Nisha, Zairu

Singh, Jagvinder

Sharma, Anuj Kumar
License Information

Text and Data Mining valid from 2022-11-09

Version of Record valid from 2022-11-09
More Information

Article History

Received: 3 February 2022

Revised: 14 August 2022

Accepted: 21 October 2022

First Online: 9 November 2022

Declarations

:

: There is no potential conflicts of interest. The research does not involve Human Participants and/or Animals. Consent in all other cases have been taken.

Document is current

Any future updates will be listed below