Residential Demand Response under Uncertainty
نویسندگان
چکیده
This paper considers a residential market with real-time electricity pricing and flexible electricity consumption profiles for customers. Such a market raises an optimisation problem for home automation systems where they need to schedule consumption activities to reduce costs, whilst maintaining a base level of comfort and convenience. This optimisation problem faces uncertainty in real-time prices, weather conditions, and occupant behaviour. The paper presents an online stochastic combinatorial optimisation algorithm that produces fast, high-quality solutions to this problem. This algorithm is compared with reactive control strategies and an approach using an expected scenario. Our results demonstrate the value of stochastic information and online stochastic optimisation in residential demand response.
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