Description

Presents a simple algorithm for forecasting the electrical demand in a building. States the algorithm should also be available for forecasting cooling loads. It has application in dynamic control strategies that use chilled water, ice, or building thermal mass as a thermal storage medium. Parameters of the forecasting model are adjusted over time to adapt to a specific building’s characteristics. States the algorithm is easily programmed and has small computational effort and memory requirements. describes how electrical demand data collected from a grocery store and a restaurant were used to demonstrate the accuracy and robustness of the algorithm.

KEYWORDS: Algorithms, calculating, buildings, load, electricity consumption, accuracy, restaurants, shops.

Citation: Symposium, ASHRAE Transactions, vol.97, Pt. 1, New York 1991

Product Details

Published:

1991

Number of Pages:

12

File Size:

1 file , 1.5 MB

Product Code(s):

D-18594