Abstract
Efficient energy consumption in large sets of electric devices is a complex problem since it requires a balance between many competing factors. Presently, self-optimization techniques work expeditiously on small and relatively less complex problems. However, these techniques are not shown to be scalable on large and complex problems. In this paper we have used linear programming to optimize the use of energy in a typical environment that consists of large number of devices. Our initial results show that LP is fast, predictable and scalable. Moreover, we have also observed that modeling in LP is quite simple as compared to other self-optimization techniques.
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Javed, F., Arshad, N. (2008). On the Use of Linear Programming in Optimizing Energy Costs. In: Hummel, K.A., Sterbenz, J.P.G. (eds) Self-Organizing Systems. IWSOS 2008. Lecture Notes in Computer Science, vol 5343. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92157-8_30
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DOI: https://doi.org/10.1007/978-3-540-92157-8_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-92156-1
Online ISBN: 978-3-540-92157-8
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