Garshasbi, S., Kurnitski, J., Mohammadi, J.

prindi

A hybrid Genetic Algorithm and Monte Carlo simulation approach to predict hourly energy consumption and generation by a cluster of Net Zero Energy Buildings

autor

Garshasbi, Samira

Kurnitski, Jarek

Mohammadi, Yousef

vastutusandmed

Samira Garshasbi, Jarek Kurnitski, Yousef Mohammadi

allikas

Applied energy

kirjastus/väljaandja

Elsevier

ajakirja aastakäik number kuu

vol. 179

ilmumisaasta

2016

leheküljed

p. 626-637 : ill

leitav

https://doi.org/10.1016/j.apenergy.2016.07.033

märksõna

taastuvenergia

Monte Carlo meetodid

geneetilised algoritmid

madalenergiamajad

koostöövõrgustikud

võtmesõna

Monte Carlo simulation

genetic algorithm

renewable energy

ISSN

0306-2619

märkused

Bibliogr.: 49 ref

teaduspublikatsioon

klassifikaator

1.1

Scopus

Journal metrics at Scopus

Article at Scopus

WOS

Journal metrics at WOS

Article at WOS

kategooria (üld)

Engineering

Environmental science

Energy

kategooria (alam)

Engineering. Building and construction

Environmental science. Management, monitoring, policy and law

Engineering. Mechanical engineering

Energy. Renewable energy, sustainability and the environment

kvartiil

TTÜ struktuuriüksus

ehitiste projekteerimise instituut

keel

inglise

Garshasbi, S., Kurnitski, J., Mohammadi, J. A hybrid Genetic Algorithm and Monte Carlo simulation approach to predict hourly energy consumption and generation by a cluster of Net Zero Energy Buildings // Applied energy (2016) vol. 179, p. 626-637 : ill. https://doi.org/10.1016/j.apenergy.2016.07.033