Social Network Users Share Electricity Consumption Habits to Reduce Energy Costs for Consumers and Utility Companies
A clustered social network that logs electricity usage trends to help minimize peak energy consumption and maximize savings for the user and utility company
- Offers family or social network plans, reducing peak power consumption
- Uses a distributed clustering scheme, providing an unprecedented scalability for a large network
- Is capable of simulating electricity usage data for an unlimited number of households, making it practical to evaluate performance of techniques
The system constructs “social graphs” of power consumption based on user-defined groups. Given a social graph, the algorithm aims at finding clusters of users that achieve minimum variance in power consumption throughout the day. Clusters are formed by sending energy usage patterns of at least one user to another within a social network and scheduling at least one job for the first user to reduce peak power used within the cluster.