An approximate dynamic programming approach to the energy management of a building cooling system

@article{Ceriani2013AnAD,
  title={An approximate dynamic programming approach to the energy management of a building cooling system},
  author={Nicola Ceriani and Riccardo Vignali and Luigi Piroddi and Maria Prandini},
  journal={2013 European Control Conference (ECC)},
  year={2013},
  pages={2026-2031}
}
This paper is concerned with optimal energy management of micro-grids. The goal is to show that the problem of minimizing the operating costs of a micro-grid by coordinating and scheduling its components can be formulated as a constrained optimal control problem for a stochastic hybrid system. This, in turn can be addressed through the Dynamic Programming (DP) approach, and the resulting DP equations solved through approximate DP techniques. A simple case study of a building cooling system with… CONTINUE READING
Highly Cited
This paper has 24 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-9 of 9 extracted citations

Simulation of Smart–Grid Models using Quantization–Based Integration Methods

X. Florosa, F. Bergerob, +3 authors F. E. Celliera
2014
View 4 Excerpts
Highly Influenced

References

Publications referenced by this paper.
Showing 1-10 of 11 references

Energy efficient microgrid management using Model Predictive Control

IEEE Conference on Decision and Control and European Control Conference • 2011
View 1 Excerpt

Energy management for buildings and microgrids

IEEE Conference on Decision and Control and European Control Conference • 2011
View 1 Excerpt

Model predictive control for the operation of building cooling systems

Proceedings of the 2010 American Control Conference • 2010
View 2 Excerpts

Reinforcement Learning and Dynamic Programming Using Function Approximators

L. Busoniu, R. Babuska, B. De Schutter, D. Ernst
2010
View 1 Excerpt

Model Predictive Control of thermal energy storage in building cooling systems

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference • 2009
View 2 Excerpts