Search Results - "Aoki, A.R."

Simultaneous allocation of capacitors and voltage regulators at distribution networks using Genetic Algorithms and Optimal Power Flow by Szuvovivski, I., Fernandes, T.S.P., Aoki, A.R.

“…► We propose a methodology to allocate voltage regulators (VRs) and capacitors banks, simultaneously. ► It uses Genetic Algorithms and Optimal Power Flow based…”
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Sensitivity analysis to connect distributed generation by de Souza, A.R.R., Fernandes, T.S.P., Aoki, A.R., Sans, M.R., Oening, A.P., Marcilio, D.C., Omori, J.S.

“…► We propose a sensitivity analysis to realize the connection of Distributed Generation. ► The Incremental Transmission Loss is represented by rectangular form…”
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A heuristic to adjust automatic capacitors using parameterization of load by Dahlke, D.B., Steilein, G., Fernandes, T.S.P., Aoki, A.R.

“…► We propose a methodology to adjust automatic banks of capacitors. ► The banks of capacitors are installed at feeders of distribution networks. ► It uses a…”
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Particle swarm optimization for fuzzy membership functions optimization by Esmin, A.A.A., Aoki, A.R., Lambert-Torres, G.

“…The use of fuzzy logic to solve control problems have been increasing considerably in the past years. The successfulness of fuzzy application depends on a…”
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Demand Forecasting for Control of the Use of Transmission System for Electric Distribution Utilities by Ferreira, V.H., Aoki, A.R., de Rocco, S.M.

“…The Brazilian electric sector reform specifying that the remuneration of distribution utilities must be through the management of their systems increased the…”
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Deterministic versus probabilistic approaches to self-healing in smart grid by Siebert, L.C, Aoki, A.R, de Souza, A.R.R, Ferreira, L.R, Bonelli, A.F, de O Toledo, F

“…This paper presents a comparison between deterministic and probabilistic approaches to support decision making process for self-healing in smart grid, aiming…”
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Electrical energy demand prediction using Artificial Neural Networks and Support Vector Regression by Ruas, G.I.S., Bragatto, T.A.C., Lamar, M.V., Aoki, A.R., de Rocco, S.M.

“…This paper describes a short time electrical energy demand forecast system using two different techniques of artificial intelligence: recurrent artificial…”
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