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11/04/2020
A Data-Driven Machine Learning Approach for Consumer Modeling with Load Disaggregation
While non-parametric models, such as neural networks, are sufficient in ...
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07/31/2019
An L0-Norm Constrained Non-Negative Matrix Factorization Algorithm for the Simultaneous Disaggregation of Fixed and Shiftable Loads
Energy disaggregation refers to the decomposition of energy use time ser...
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05/15/2019
Pareto-Optimal Allocation of Transactive Energy at Market Equilibrium in Distribution Systems: A Constrained Vector Optimization Approach
In a grid constrained transactive distribution system market, distributi...
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07/18/2017
