Search Results for author:
Found 4 papers, 0 papers with code
Unit Commitment using Nearest Neighbor as a Short-Term Proxy
We devise the Unit Commitment Nearest Neighbor (UCNN) algorithm to be used as a proxy for quickly approximating outcomes of short-term decisions, to make tractable hierarchical long-term assessment and planning for large power systems.
Hierarchical Decision Making In Electricity Grid Management
The power grid is a complex and vital system that necessitates careful reliability management.
Fast Kernel Learning for Multidimensional Pattern Extrapolation
This difficulty is compounded by the fact that Gaussian processes are typically only tractable for small datasets, and scaling an expressive kernel learning approach poses different challenges than scaling a standard Gaussian process model.
GPatt: Fast Multidimensional Pattern Extrapolation with Gaussian Processes
We introduce a new Bayesian nonparametric framework -- GPatt -- enabling automatic pattern extrapolation with Gaussian processes on large multidimensional datasets.
