Pregled bibliografske jedinice broj: 659818
Improving the residential natural gas consumption forecasting models by using solar radiation
Improving the residential natural gas consumption forecasting models by using solar radiation // Energy and buildings, 69 (2014), 498-506 doi:10.1016/j.enbuild.2013.11.032 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 659818 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Improving the residential natural gas consumption forecasting models by using solar radiation
Autori
Soldo, Božidar ; Potočnik, Primož ; Šimunović, Goran ; Šarić, Tomislav ; Govekar, Edvard
Izvornik
Energy and buildings (0378-7788) 69
(2014);
498-506
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
cConsumption forecasting ; solar radiation ; residential natural gas consumption
(Consumption forecasting ; Solar radiation ; Residential natural gas consumption ;)
Sažetak
Natural gas is known as a clean energy source used for space heating in residential buildings. Residential sector is a major natural gas consumer that usually demands significant amount of total natural gas supplied in distribution systems. Since demands of all consumers should be satisfied and distribution systems have limited capacity, accurate planning and forecasting in high seasons has become critical and important. In this paper, the influence of solar radiation on forecasting residential natural gas consumption was investigated. Solar radiation impact was tested on two data sets, namely on natural gas consumption data of a model house, and on natural gas consumption data of a local distribution company. Various forecasting models with one day ahead forecasting horizon were compared in this study, including linear models (auto-regressive model with exogenous inputs, stepwise regression) and nonlinear models (neural networks, support vector regression). Results confirmed that solar radiation clearly influences natural gas consumption, and included as input variable in the forecasting model improves the forecasting results. Consequently it is recommended to use solar radiation as input variable in building forecasting models.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
152-1521781-2235 - Razvoj ERP sustava za digitalno poduzeće (Šarić, Tomislav, MZOS ) ( CroRIS)
Ustanove:
Strojarski fakultet, Slavonski Brod
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus