PURPOSE: To enable highly accurate prediction of a thermal load of the next day without relying on manual efforts, by formulating the nonlinear relationship between factors of change of a thermal load such as week days and weather and the thermal load.
CONSTITUTION: While a thermal load consumed by a heat consuming apparatus 5 is detected, a weather measured value and a weather predicted value of an atmospheric temperature etc., are inputted and these are stored by a data storage means 11. A calender data generating means 12 generates week day data, while a prediction model learning means 13 learns weighting factors of a day thermal load prediction model and a time thermal load pattern prediction model by using selectively the weather measured value, the weather predicted value, the thermal load, the week day data and thermal load feature amount data on the morning and afternoon obtained from measured value of a time thermal load, which are stored, and stores them. Based on the weighting factors and the prediction models being stored, a time thermal load pattern is predicted and object heat source machines 3 are controlled by using this predicted time thermal load pattern.
| JP2005016945 | HUMIDITY CONTROL AND VENTILATION DEVICE |
| JPS5840410 | 【考案の名称】車両用空気調和装置 |
NISHIMURA NOBUTAKA
FUJIKAWA TSUTOMU
YAMADA YUKIHIRO
FUJITA NOBUHITO
