Pubblicazione scientifica

Lighting consumption optimization using fish school search algorithm

FILONE TECNOLOGICO	TEMA
trasformazione e commercializzazione

RIASSUNTO

Electricity consumption has increased all around the world in the last decades. This has caused a rise in the use of fossil fuels and in the harming of the environment. In the past years the use of renewable energies and reduction of consumption has growth in order to deal with that problem. The change in the production paradigm led to an increasing search of ways to shorten consumption and adapt to the production. One of the solutions for this problem is to use Demand Response systems. Lighting systems have a major role in electricity consumption, so they are very suitable to be applied in a Demand Response system, optimizing their use. This optimization can be made in different ways being one of them by using a heuristic algorithm. This paper focuses on the use of Fish School Search algorithm to optimize a lighting system, in order to understand its capability of dealing with a problem of this nature and compare it with other algorithms to evaluate its performance.

DATA

Data di pubblicazione: 01/11/2017

AUTORI

PEDRO FARIA
ANGELO PINTO
ZITA VALE
MAHSA KHORRAM
FERNANDO B DE LIMA NETO
TIAGO PINTO

ENTE DI AFFERENZA

RES GROUP ON INTELL ENG & COMPUT FOR ADV INNOV & DEV ISEP IPP POLYTECH OF PORTO PORTO PORTUGAL
COMPUT ENG PROGRAM UNIV PERNAMBUCO RECIFE BRAZIL
BISITE RES CTR UNIV SALAMANCA SALAMANCA SPAIN

RIVISTA

2017 IEEE Symposium Series on Computational Intelligence (SSCI) (Page(s): 1-5)

indietro