Artificial neural networks for energy demand prediction in an economic MPC-based energy management system
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Publication:6664727
DOI10.1002/RNC.7671MaRDI QIDQ6664727
Rodrigo G. Alarcón, Martín A. Alarcón, A. González, Antonio Ferramosca
Publication date: 16 January 2025
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
artificial neural networkseconomic model predictive controlmicrogriddeep learninglong short-term memorydisturbance prediction
Artificial neural networks and deep learning (68T07) Networked control (93B70) Model predictive control (93B45)
Cites Work
- MPC for tracking with optimal closed-loop performance
- MPC for tracking piecewise constant references for constrained linear systems
- CasADi: a software framework for nonlinear optimization and optimal control
- Robust model predictive control of constrained linear systems with bounded disturbances
- Economic MPC for a Changing Economic Criterion for Linear Systems
- A robust economic MPC for changing economic criterion
- Stochastic model predictive control for tracking linear systems
- Stochastic Tubes in Model Predictive Control With Probabilistic Constraints
- Learning representations by back-propagating errors
- Constraint-Tightening and Stability in Stochastic Model Predictive Control
- A logical calculus of the ideas immanent in nervous activity
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