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Toplam kayıt 19, listelenen: 1-19

A novel application of Naïve Bayes classifier in photovoltaic energy prediction

Bayindir, Ramazan; Colak, Medine; Genc, Naci; Yeşilbudak, Mehmet (2017)

Solar energy is one of the most affordable and clean renewable energy source in the world. Hence, the solar energy prediction is an inevitable requirement in order to get the maximum solar energy during the day time and ...
A review of data mining and solar power prediction

Colak, Medine; Bayindir, Ramazan; Yeşilbudak, Mehmet (2016)

Solar energy is one of the clean and renewable energy sources that are mostly available in the world. As a result of this situation, there are many research studies done on the solar energy in order to get the maximum solar ...
Daily photovoltaic power prediction enhanced by hybrid GWO-MLP, ALO-MLP and WOA-MLP models using meteorological information

Colak, Medine; Yesilbudak, Mehmet; Bayindir, Ramazan (2020)

Solar energy is a safe, clean, environmentally-friendly and renewable energy source without any carbon emissions to the atmosphere. Therefore, there are many studies in the field of solar energy in order to obtain the ...
Design and simulation of a drive system for speed control of travelling wave ultrasonic moto

Colak, Ilhami; Demirtas, Mehmet; Bayindir, Ramazan; Yeşilbudak, Mehmet (2010)

This paper presents a low cost, user friendly and effective drive system for the speed control of travelling wave ultrasonic motor (TWUSM). Driving frequency and voltage were used as control inputs in the speed control. ...
Design of an intelligent decision making system for a travelling wave ultrasonic motor

Colak, Ilhami; Bayindir, Ramazan; Kahraman, Hamdi Tolga; Yeşilbudak, Mehmet (2009)

In this study, an intelligent decision making system which determines the compatibility of operating parameters has been designed for the travelling wave ultrasonic motor (TWUSM). The system designed converts input parameters ...
Excitation current forecasting for reactive power compensation in synchronous motors: A data mining approach

Bayindir, Ramazan; Colak, Ilhami; Sagiroglu, Seref; Yeşilbudak, Mehmet (2012)

Excitation current of a synchronous motor has a key role in reactive power compensation. For this purpose, the k-nearest neighbor (k-NN) classifier designed in this paper predicts the excitation current parameter using ...
Forecasting of daily total horizontal solar radiation using grey wolf optimizer and multilayer perceptron algorithms

Colak, Medine; Yesilbudak, Mehmet; Bayindir, Ramazan (2019)

Solar radiation data is an indispensable input for photovoltaic and solar-thermal systems. In this regard, the consistent solar radiation forecasting is a primary task in solar energy applications. In this paper, grey wolf ...
Investigation of the effects of FACTS devices on the voltage stability of power systems

Ermis, Salih; Bayindir, Ramazan; Yeşilbudak, Mehmet (2017)

In parallel with the technological advances, the electrical power demand is constantly increasing and this makes the voltage stability difficult for the electrical power systems. At this point, FACTS (Flexible AC Transmission ...
k-means partition of monthly average insolation period data for Turkey

Colak, Ilhami; Bayindir, Ramazan; Yeşilbudak, Mehmet (2016)

Solar power penetration has made the site-specific energy ratings an essential necessity for utilities, independent systems operators and regional transmission organizations. Since, it leads to the reliable and efficient ...
Load and short-circuit analyses of the electricity transmission system for industry regions in Ankara

Bayindir, Ramazan; Cetinkaya, Umut; Yeşilbudak, Mehmet (2015)

In recent years, the increasing electricity demand leads energy operators to new grid investments. On the other hand, electricity grids are constantly extending and include different kinds of generation and consumption ...
Modelling and analysing of electricity transmission infrastructure of Ankara, Turkey: A case study on the critical line scenarios

Bayindir, Ramazan; Cetinkaya, Umut; Yeşilbudak, Mehmet (2015)

The use of electricity has been increasing constantly from past to now and there is a need of reliable transmission and distribution systems in order to provide continuous and balanced energy. Besides, traditional energy ...
Multi-period prediction of solar radiation using ARMA and ARIMA models

Colak, Ilhami; Genc, Naci; Bayindir, Ramazan; Yeşilbudak, Mehmet (2015)

Due to the variations in weather conditions, solar power integration to the electricity grid at a high penetration rate can cause a threat for the grid stability. Therefore, it is required to predict the solar radiation ...
Optimal power flow using artificial bee colony, wind driven optimization and gravitational search algorithms

Ermis, Salih; Bayindir, Ramazan; Yeşilbudak, Mehmet (2019)

In this study, artificial bee colony, wind driven optimization and gravitational search algorithms are employed in order to solve the optimal power flow problem. The proposed optimization approaches are tested on the ...
Peak point detection of phase-to-phase effective voltages for smart grids: A comparative study

Colak, Alperen Mustafa; Shibata, Yuichiro; Kurokawa, Fujio; Ermis, Salih; Bayindir, Ramazan; Yeşilbudak, Mehmet (2017)

Smart grid systems include many different power sources such as renewable and fossil energy basis. While collecting all type of energy on the grid, phase order, frequency, maximum voltage value and synchronization time of ...
Standards-based investigation of voltage dips and voltage imbalances in an organized industrial zone

Bayindir, Ramazan; Ermis, Salih; Yeşilbudak, Mehmet (2016)

The measurement, monitoring and evaluation of power quality have a great importance for avoiding grid- and device-based problems in the stages of generation, transmission, distribution and consumption of electrical energy. ...
Statistical scenarios for demand forecast of a high voltage feeder: A comparative study

Bayindir, Ramazan; Cetinkaya, Umut; Bulbul, Halil Ibrahim; Arslan, Fahrettin; Yeşilbudak, Mehmet (2015)

The electricity demand forecasting has gained remarkable concern in energy market operation and planning with the emergence of deregulation in the power industry. Power system operators benefit from accurate demand forecasts ...
Very-short term estimation of global horizontal irradiance using data mining methods

Colak, Medine; Bayindir, Ramazan; Yeşilbudak, Mehmet (2018)

Solar energy is one of the safe, clean and environment-friendly renewable energy sources. In solar energy systems, it is important to obtain the maximum solar irradiance during the day, predict the solar energy generation ...
Very-short term modeling of global solar radiation and air temperature data using curve fitting methods

Colak, Medine; Bayindir, Ramazan; Bulbul, Halil Ibrahim; Yeşilbudak, Mehmet (2017)

The development of renewable energy technologies is an inevitable requirement to cope with environmental, economic and political challenges. Solar energy is regarded as one of the most promising types among renewable energy ...
What are the current status and future prospects in solar irradiance and solar power forecasting?

Colak, Medine; Bayindir, Ramazan; Yeşilbudak, Mehmet (2018)

In most of the countries around the world, solar photovoltaic power plants have a cost-competitive structure for providing energy access and for increasing electricity production. However, solar photovoltaic power integration ...