Fault diagnosis in unbalanced radial distribution networks using generalised regression neural network

por Mirzaei, Maryam
Publicado em 2011

Fault diagnosis in unbalanced radial distribution networks using generalised regression neural network

por Mirzaei, Maryam
Publicado em 2011

A proposed genetic algorithm to optimize service restoration in electrical networks with respect to the probability of transformers failure

por Aminian, Masoud, Moazami, Ehsan, Mirzaei, Maryam, Ab Kadir, Mohd Zainal Abidin
Publicado em 2010

Comparative analysis of probabilistic neural network, radial basis function, and feed-forward neural network for fault classification in power distribution systems

por Mirzaei, Maryam, Ab Kadir, Mohd Zainal Abidin, Hizam, Hashim, Moazami, Ehsan
Publicado em 2011

Review of fault location methods for distribution power system

por Mirzaei, Maryam, Ab Kadir, Mohd Zainal Abidin, Moazami, Ehsan, Hizam, Hashim
Publicado em 2009

Static voltage stability analysis using generalized regression neural network

por Mirzaei, Maryam, Jasni, Jasronita, Hizam, Hashim, Abdul Wahab, Noor Izzri, Moazami, Ehsan
Publicado em 2013

A combined analytical method for optimal location and sizing of distributed generation considering voltage stability and power loss in a power distribution system

por Mirzaei, Maryam, Jasni, Jasronita, Hizam, Hashim, Abdul Wahab, Noor Izzri, Moazami, Ehsan
Publicado em 2017

Optimal penalty method in distribution service restoration using genetic algorithm

por Moazami, Ehsan, Ab Kadir, Mohd Zainal Abidin, Hizam, Hashim, Izadi, Mahdi, Mirzaei, Maryam
Publicado em 2013

An analytical method for optimal sizing of different types of DG in a power distribution system

por Mirzaei, Maryam, Jasni, Jasronita, Hizam, Hashim, Abdul Wahab, Noor Izzri, Mohamed, Salah Eldeen Gasim
Publicado em 2014

Optimal allocation of sen transformer for active power loss reduction

por Mohamed, Salah Eldeen Gasim, Jasni, Jasronita, Mohd Radzi, Mohd Amran, Hizam, Hashim, Mirzaei, Maryam
Publicado em 2014

Modelling and prediction of photovoltaic power output using artificial neural networks

por Saberian, Aminmohammad, Hizam, Hashim, Mohd Radzi, Mohd Amran, Ab Kadir, Mohd Zainal Abidin, Mirzaei, Maryam
Publicado em 2014