Using explainability tools to inform NILM algorithm performance: a decision tree approach.
Rachel Stephen MollelLina StankovicVladimir StankovicPublished in: BuildSys@SenSys (2022)
Keyphrases
- decision trees
- learning algorithm
- computational complexity
- experimental evaluation
- high accuracy
- optimal solution
- preprocessing
- computational cost
- significant improvement
- cost function
- detection algorithm
- computationally efficient
- input data
- np hard
- objective function
- dynamic programming
- k means
- convergence rate
- theoretical analysis
- optimization algorithm
- matching algorithm
- tree construction
- data sets
- decision tree algorithms
- ant colony optimization
- linear programming
- search space
- similarity measure
- data mining