Prediction of heat load in district heating systems by Support Vector Machine with Firefly searching algorithm

Author:

Al-Shammari Eiman Tamah,Keivani Afram,Shamshirband Shahaboddin,Mostafaeipour Ali,Yee Por Lip,Petković DaliborORCID,Ch Sudheer

Publisher

Elsevier BV

Subject

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

Reference47 articles.

1. District heating and cooling, Lund;Frederiksen,2013

2. Profitability of sparse district heating;Reihav;Appl Energy,2008

3. Possibilities and consequences of deregulation of the European electricity market for connection of heat sparse areas to district heating systems;Amiri;Appl Energy,2010

4. Sparse district- heating in Sweden;Nilsson;Appl Energy,2008

5. Population Division, Department of Economic and Social affairs, United Nations. World Urbanization Prospects: The 2009 Revision (Data in digital form POP/DB/WUP/Rev.2009).

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