Forecasting electric demand of supply fan using data mining techniques-Reference-Cited by-同舟云学术

Forecasting electric demand of supply fan using data mining techniques

Published:2016-04 Issue: Volume:101 Page:541-557
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Le Cam M.,Daoud A.,Zmeureanu R.^ORCID

Funder

NSERC Smart Net Energy Buildings Network

Faculty of Engineering and Computer Science of Concordia University

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference35 articles.

1. Energy efficiency & renewable energy;Buildings Energy Data Book,2012

2. Energy efficiency trends in Canada 1990 to 2010;Office of Energy Efficiency NRC,2013

3. A survey of knowledge discovery and data mining process models;Kurgan;Knowl Eng Rev,2006

4. From data mining to knowledge discovery in databases;Fayyad;AI Mag,1996

5. Knowledge discovery in real databases: a report on the IJCAI-89 workshop;Piatetsky-Shapiro;AI Mag,1990

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