Adaptive prediction model accuracy in the control of residential energy resources


Reference:
R.R. Negenborn, M. Houwing, B. De Schutter, and H. Hellendoorn, "Adaptive prediction model accuracy in the control of residential energy resources," Proceedings of the 17th IEEE International Conference on Control Applications, San Antonio, Texas, pp. 311-316, Sept. 2008.

Abstract:
With the increasing use of distributed energy resources and intelligence in the electricity infrastructure, the possibilities for minimizing costs of household energy consumption increase. Technology is moving toward a situation in which automated energy management systems could control domestic energy generation, storage, and consumption. In previous work we have proposed a controller based on model predictive control for controlling an individual household using a micro combined heat and power plant in combination with heat and electricity storages. Although the controller provides adequate performance in computer simulations, the computational time required to determine which actions to take can be significant, due to the precise predictions made over a long prediction horizon. In this paper we propose to make the computations less time consuming by coarsening the quality of the predictions made over the prediction horizon by decreasing their time resolution. In simulation studies we illustrate the performance of the proposed approach.


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Bibtex entry:

@inproceedings{NegHou:08-013,
        author={R.R. Negenborn and M. Houwing and B. {D}e Schutter and H. Hellendoorn},
        title={Adaptive prediction model accuracy in the control of residential energy resources},
        booktitle={Proceedings of the 17th IEEE International Conference on Control Applications},
        address={San Antonio, Texas},
        pages={311--316},
        month=sep,
        year={2008}
        }



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