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A Hierarchical Architecture for Optimal Unit Commitment and Control of an Ensemble of Steam Generators
A hierarchical architecture for the optimal management of an ensemble of steam generators is presented.
Probabilistic electric load forecasting through Bayesian Mixture Density Networks
Probabilistic load forecasting (PLF) is a key component in the extended tool-chain required for efficient management of smart energy grids.
Estimation of Switched Markov Polynomial NARX models
This work targets the identification of a class of models for hybrid dynamical systems characterized by nonlinear autoregressive exogenous (NARX) components, with finite-dimensional polynomial expansions, and by a Markovian switching mechanism.
Identification of Probability weighted ARX models with arbitrary domains
Hybrid system identification is a key tool to achieve reliable models of Cyber-Physical Systems from data.
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