|
Application of artificial neural networks for the wind power prediction inNakhon Pathom |
|---|---|
| รหัสดีโอไอ | |
| Creator | Bopit Chainok |
| Title | Application of artificial neural networks for the wind power prediction inNakhon Pathom |
| Publisher | Nakhon Pathom Rajabhat University |
| Publication Year | 2561 |
| Journal Title | Journal of Thai Interdisciplinary Research |
| Journal Vol. | Vol. 13 |
| Journal No. | N0. 3 |
| Page no. | 1 |
| Keyword | wind power prediction, wind energy, artificial neural network |
| URL Website | www.rdi.npru.ac.th |
| Website title | วารสารวิจัยสหวิทยาการไทย |
| ISSN | 2465-3837 |
| Abstract | This paper uses weather data from the Thai Meteorological Department (TMD), Nakhon Pathom WeatherStation [1]. Weather information includes wind speed, wind direction, temperature, humidity, and atmosphericpressure. Average data sets were collected on daily basis for 9 months, from January 2017 to September 2017 andconverted to a database. Artificial neural networks (ANN) are used to estimate wind power. The mean square error(MSE) is used for measured ANN performance. The experimental results show that the topology of the 3 neurons inthe input, 10 neurons in the hidden layer, and a neuron node output is trained by LevenbergMarquardt algorithm(LM). It has maximum regression and minimum MSE. |
