IEEE PowerTech Conference - PowerTech 1999, Budapest (Hungary). 28 August - 02 September 1999
Summary:
Due to the large size of electric power systems there is a very high computational burden when obtaining the optimum network by using classical optimization techniques. Several authors have used heuristics and/or sensisitivities in order to guide the search of optimal network investments. This paper proposes an Automatic Learning approach in order to decide whether a network change will improve the overall costs or not. more specifically, Decision Trees methods are used to identifiy a set of simple and reliable rules which combine criteria trees are integrated in a subtransmission planning tool, improving dramatically both the “optimality” of the resultant network and the computational time.
Keywords: Transmission planning, planning rules, automatic learning, decision trees, genetic algorithms, data mining.
DOI: 
https://doi.org/10.1109/PTC.1999.826607
Publication date: 28-Aug-1999.
Citation:
J. Peco, E.F. Sánchez-Úbeda, T. Gómez, "Enhancing optimal transmission or subtransmission planning by using decision trees.", presented at IEEE PowerTech Conference - PowerTech 1999, Budapest, Hungary, 28 August - 02 September 1999
IIT-99-059A
