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A platform for research: civil engineering, architecture and urbanism
Adaptive Demand Limiting Control Using Load Shedding
This paper presents a new algorithm for controlling the peak electrical demand in buildings below a target level through load shedding. The algorithm uses statistical methods to determine the load shedding requirements, without unnecessarily shedding loads. Specifically, a random walk model is used to forecast the uncontrolled electrical demand, and a statistical parameter is used to characterize the forecast errors. The statistical parameter is adjusted in an adaptive manner. Thus, the algorithm is easy to use because it automatically adjusts to a specific building's characteristics. Electrical demand data from a fast food restaurant were used to develop and test the algorithm. The algorithm has successfully been used to limit peak electric demand in a number of buildings.
Adaptive Demand Limiting Control Using Load Shedding
This paper presents a new algorithm for controlling the peak electrical demand in buildings below a target level through load shedding. The algorithm uses statistical methods to determine the load shedding requirements, without unnecessarily shedding loads. Specifically, a random walk model is used to forecast the uncontrolled electrical demand, and a statistical parameter is used to characterize the forecast errors. The statistical parameter is adjusted in an adaptive manner. Thus, the algorithm is easy to use because it automatically adjusts to a specific building's characteristics. Electrical demand data from a fast food restaurant were used to develop and test the algorithm. The algorithm has successfully been used to limit peak electric demand in a number of buildings.
Adaptive Demand Limiting Control Using Load Shedding
Seem, John E. (author)
HVAC&R Research ; 1 ; 21-34
1995-01-01
14 pages
Article (Journal)
Electronic Resource
Unknown
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