Regression model for estimating thermal resource usage in air conditioning systems : daily demand forecast by potential integral method, considering thermal inertia of room and weather conditions
Sho Ikawa, Kaoru Kuramoto and Satoshi Kumagai, Shuuzou Kishima
| Year of publication: |
2019
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|---|---|
| Authors: | Ikawa, Sho ; Kuramoto, Kaoru ; Kumagai, Satoshi ; Kishima, Shuuzou |
| Published in: |
Asian journal of management science and applications : AJMSA. - Genève [u.a.] : Inderscience Enterprises, ISSN 2049-8683, ZDB-ID 2757182-8. - Vol. 4.2019, 1, p. 3-14
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| Subject: | air conditioning system | prediction model | thermal resource | Prognoseverfahren | Forecasting model | Schätztheorie | Estimation theory | Wetter | Weather | Regressionsanalyse | Regression analysis |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1504/AJMSA.2019.101410 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012154198