SDP Relaxation with Randomized Rounding for Energy Disaggregation.
Kiarash ShaloudegiAndrás GyörgyCsaba SzepesváriWilsun XuPublished in: CoRR (2016)
Keyphrases
- energy saving
- linear programming
- linear programming relaxation
- semidefinite
- energy consumption
- semi definite programming
- semidefinite programming
- tight upper and lower bounds
- energy minimization
- convex relaxation
- wireless sensor networks
- convex optimization
- low energy
- linear program
- approximation algorithms
- energy efficient
- objective function
- lognormal distribution
- iterative algorithms
- interior point methods
- lower bound
- learning algorithm
- stochastic dynamic programming
- integrality gap
- minimum energy
- lp relaxation
- upper bound
- markov random field
- energy efficiency
- kernel methods