This project is developing baselines for the availability of DSM from individual properties.
How can we construct a Demand Side Management (DSM) availability baseline for an individual property that can predict the reduction in power that may be offered as a service, for the forthcoming 30 minutes and 24 hours, with 90% accuracy?
The full potential of Demand Side Management (DSM) to provide services to the energy system can only be realized if the available load reduction and duration of response is well characterized. The power and energy reduction potential from dwellings will change according to many factors, including time of day, day of the week, the temperature differential, solar gains, and preferences of occupants. This project is applying novel probabilistic data analysis methods to identify the firm DSM availability of properties from core building services and its uncertainty; incumbent and likely future technologies in homes (e.g. gas boilers and heat pumps) are being addressed.
What we are asking
- How can we construct a Demand Side Management (DSM) availability baseline for an individual property that can predict the reduction in power that may be offered as a service, for the forthcoming 30 minutes and 24 hours, with 90% accuracy?
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