Pipe-lining Dynamic Programming Processes in Order to Synchronize Energy Production and Consumption
Alain Quiliot, Fariha Bendali, Jean Mailfert, Eloise Mole Kamga, Hélène Toussaint
DOI: http://dx.doi.org/10.15439/2020F13
Citation: Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 21, pages 303–306 (2020)
Abstract. Synchronizing heterogeneous processes remains a difficult issue in Scheduling area. Related ILP models are in trouble, because of large gaps induced by rational relaxation. We propose here a pipe-line decomposition of a dynamic programming process for energy production and consumption scheduling, and describe the way related sub-processes interact in order to achieve efficient synchronization.
References
- S.Albers: Energy-efficient algorithms; Communications of ACM 53, 4, p 86-96, (2010). https://dl.acm.org/doi/10.1145/1735223.1735245
- ARTIGUES, E.HEBRARD, A.QUILLIOT, H.TOUSSAINT: Models and algorithms for evacuation problems; IEEE Proc. FEDCIS WCO12, Leipzig, 4 pages, (2019). https://doi.org/10.15439/2019F90
- L.Benini, , A.Bogliolo, G.De Micheli: A survey of design techniques for system level dynamic power management; IEEE Transactions of Very Large Scale Integratio Systems, 8, 3, p 299-316, (2000). https://dl.acm.org/doi/10.1145/1403375.1403402
- C.C.Chan. The state of the art of fuel cell vehicles. Proc. of the IEEE, 95, p 704-718, (2007). http://dx.doi.org/10.1109/JPROC.2007.892489
- P.Chretienne, A.Quilliot: A polynomial algorithm for the non idling scheduling problem; DAM, 20 pages, (2018). https://doi.org/10.1016/j.dam.2013.01.019
- C.Grimes, O.Varghese, S.Ranjan. Light, water, hydrogen: photoelectrolysis. Springer US, (2008). ISBN 978-0-387-33198-0
- S.Licht. Thermochemical and Thermal/Photo Hybrid Solar Water Splitting, Springer New York, NY, (2008). https://link.springer.com/chapter/10.1007/978-0-387-72810-0_5
- C. Lin, K.L.Choy, G.T.Ho, S.H. Chung, H.Lam. Survey of green vehicle routing problem. Expert Systems Applications, 41, p 1118–1138, (2014). https://doi.org/10.1016/j.eswa.2013.07.107.