Paper Info
Title
A Novel Harmony Search Algorithm for One-Year-Ahead Energy Demand Estimation Using Macroeconomic Variables
Abstract
In this paper we tackle a problem of one-year ahead energy demand estimation from macroeconomic variables. A modified Harmony Search (HS) algorithm is proposed to this end, as one of the novelties of the paper. The modifications on the proposed HS include a hybrid encoding, with a binary part to carry out a feature selection, and a real part, to select the parameter of a given prediction model. Some other adaptation focussed on the HS operators are also introduced. We study the performance of the proposed approach in a real problem of Energy demand estimation in Spain, from 14 macroeconomic variables with values for the last 30 years, including years of the crisis, from 2008. The performance of the proposed HS with feature selection is excellent, providing an accurate one year ahead prediction that improves previous proposals in the literature.
Year
DOI
Venue
2014
10.1007/978-3-319-07995-0_25
INTERNATIONAL JOINT CONFERENCE SOCO'14-CISIS'14-ICEUTE'14
Field
DocType
Volume
Particle swarm optimization,Mathematical optimization,Feature selection,Computer science,Energy demand,Harmony search,Operator (computer programming),Encoding (memory),Binary number
Conference
299
ISSN
Citations 
PageRank 
2194-5357
1
0.35
References 
Authors
8
5
Name
Order
Citations
PageRank
Sancho Salcedo-Sanz158071.21
José Antonio Portilla-Figueras2488.53
Jesús Muñoz-Bulnes321.03
Javier Del Ser471287.90
Miren Nekane Bilbao512016.81