A Proposal-Based, Decentralized Demand-Side Management Peak-Reduction Algorithm

16 March 2023, by Tom Schmolzi

Photo: Israel Palacio

Electricity grids have to employ expensive infrastructure to remain stable at peak consumption times. The peak usage is only required for a short time each day

Currently, most devices achieve tasks by running immediately. More intelligent scheduling using demand-side management enables a more effective usage of the grid. But few algorithms look at the problem with the context of the devices being in a network. We plan to implement a demand-side management optimization algorithm which locally decides on a limited number of suggestions based on input suggestions received from other devices in a network. We will compare different scenarios and test against randomized and eager baseline strategies. The project will conclude with a final presentation and a scientific paper.

Participants: Tom Schmolzi