Mahfoud R.J., Domvshev A., Sun Y., Panasetsky D., Alkayem N.F., Sidorov D. Power Losses Minimization in Radial Distribution Networks by Capacitor Allocation Using Hybrid Evolutionary Computation Technique // 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings. ID: 8582451. 2018. P.1-5. ISBN (print): 9781538685495. DOI: 10.1109/EI2.2018.8582451 The current research presents a framework to solve the shunt capacitors' optimal allocation and sizing problem in...
Теги: cuckoo search , differential evolution , radial distribution networks evolutionary algorithms , shunt capacitors , electric load flow , learning algorithms , optimization , reactive power , cuckoo search algorithms , cuckoo searches , evolutionary computation technZhukov A.V., Sidorov D.N., Foley A.M. Random forest based approach for concept drift handling // Communications in Computer and Information Science. Vol.661. 2017. P.69-77. ISBN (print): 978-3-319-52920-2; 978-3-319-52919-6. DOI: 10.1007/978-3-319-52920-2_7 Concept drift has potential in smart grid analysis because the socio-economic behaviour of consumers is not governed by the laws of physics. Likewise there are also applications in wind power forecasting. In this paper we present decision tree...
Теги: machine learning , decision tree , concept drift , ensemble learning , classification , random forest , classification (of information) , decision trees , image analysis , learning algorithms , learning systems , wind power , aggregation rules , concept drifts , empiri... such a system is to early warn and prevent dangerous states and emergency situations before they lead to a system blackout. Consideration is given to a construction principle of systems for security monitoring and assessment on the basis of machine learning algorithms. The feasibility of the approach in a proof-of-concept has been demonstrated on the modified 53-node reliability test system (IEEE RTS-96) and IEEE 118 power system. © 2016 IEEE. входит
Теги: artificial intelligence , electric power systems , intelligent control , intelligent systems , learning algorithms , learning systems , construction principle , emergency control , emergency situation , emergeTomin N.V., Kurbatsky V.G., Sidorov D.N., Zhukov A.V. Machine Learning Techniques for Power System Security Assessment // IFAC-PapersOnLine. Vol.49. No.27. 2016. P.445-450. DOI: 10.1016/j.ifacol.2016.10.773 Modern electricity grids continue to be vulnerable to large-scale blackouts. As all states leading to large-scale blackouts are unique, there is no algorithm to identify pre-emergency states. Moreover, numerical conventional methods are computationally expensive, which makes it difficult to use...
Теги: artificial intelligence , electric power system security , electric power transmission networks , learning algorithms , learning systems , numerical methods , pattern recognition , smart power grids , blackouMinarchenko I. Search of nash equilibrium in quadratic n-person game // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol.9869 LNCS. 2016. P.509-521. ISBN (print): 9 783 319 . DOI: 10.1007/978-3-319-44914-2_40 This paper is devoted to Nash equilibrium search in quadratic n-person game, where payoff function of each player is quadratic with respect to its strategic variable. Interactions between players are defined...
Теги: computation theory , game theory , learning algorithms , local search (optimization) , operations research , d.c. decomposition , extragradient methods , nash equilibria , nikaido-isoda functions , support fun
