지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.9 No.6
- 발행연도
- 2014.11
- 수록면
- 1,812 - 1,821 (10page)
이용수
초록· 키워드
오류제보하기
Wind has been a rapidly growing renewable power source for the last twenty years. Since wind behavior is chaotic in nature, its forecasting is not easy. At the same time, developing an accurate forecasting method is essential when wind farms are integrated into the power grid. In fact, wind speed forecasting tools can solve issues related to grid stability and reserve allocation. In this paper 30 hours ahead wind speed profile forecast is proposed using Adaptive Wavelet Neural Network (AWNN). The implemented AWNN uses a Mexican hat mother Wavelet, and Morlet Mother Wavelet for seven, eight and nine levels decompositions. For wind speed forecasting, the time series data on wind speed has been gathered from the National Renewable Energy Laboratory (NREL) website. In this work, hourly averaged 10-min wind speed data sets for the year 2004 in the Midwest ISO region (site number 7263) is taken for analysis. Data sets are normalized in the range of [-1, 1] to improve the training performance of forecasting models. Total 8760 samples were taken for this forecasting analysis. After the forecasting phase, statistical parameters are calculated to evaluate system accuracy, comparing different configurations.
목차
Abstract
1. Introduction
2. Wavelets
3. Results and Discussions
4. Conclusions
References
참고문헌 (20)
참고문헌 신청
1. [학술대회논문] - Song Jia / 2011 / A New Method for The Short-term Wind Speed Forecasting / 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT) : 1320 ~ 1324
2. [학술지(정기간행물)] - Guoqiang Zhang / 1998 / Forecasting With artificial neural networks: The state of the art / International Journal of forecasting 14 : 35 ~ 62
3. [학술대회논문] - Liang Wu / 2009 / A study on wind speed prediction using artificialneural network at Jeju Island in Korea / Transmission & Distribution Conference & Exposition : 1 ~ 4
4. [학술지(정기간행물)] - T. Barbounis / 2006 / Longterm wind speed and power forecasting using local recurrent neural network models / IEEE Trans. Energy Convers 21 (1) : 273 ~ 284
5. [학술대회논문] - Han Shuang / 2007 / Taboo Search Algorithm Based ANN Model for Wind Speed Prediction / 2nd IEEE Conference on Industrial Electronics and Applications
2. [학술지(정기간행물)] - Guoqiang Zhang / 1998 / Forecasting With artificial neural networks: The state of the art / International Journal of forecasting 14 : 35 ~ 62
3. [학술대회논문] - Liang Wu / 2009 / A study on wind speed prediction using artificialneural network at Jeju Island in Korea / Transmission & Distribution Conference & Exposition : 1 ~ 4
4. [학술지(정기간행물)] - T. Barbounis / 2006 / Longterm wind speed and power forecasting using local recurrent neural network models / IEEE Trans. Energy Convers 21 (1) : 273 ~ 284
5. [학술대회논문] - Han Shuang / 2007 / Taboo Search Algorithm Based ANN Model for Wind Speed Prediction / 2nd IEEE Conference on Industrial Electronics and Applications
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UCI(KEPA) : I410-ECN-0101-2015-500-002703991