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
