Application of Harmony Search to Design Wind Estimation from Probability Distribution Models

• 영문명: Application of Harmony Search to Design Wind Estimation from Probability Distribution Models
• 발행기관: 한국방재학회
• 저자명: Ghazijahani, Nima Yoon, Sukmin Lee, Taesam
• 간행물 정보: 『3. 한국방재학회 학술대회논문집』2014년, 29~29쪽, 전체 1쪽
• 주제분류: 공학 > 기타공학
• 파일형태: PDF
• 발행일자: 2014.02.19

영문 초록

The probability distribution of wind speeds is a mathematical function describing the range and relative frequency of wind speeds at a particular location. In other word, the behavior of wind velocity at a given site can be specified as a probability distribution function. The accuracy of design wind estimation depends on the choice of an appropriate probability distribution model (PDM) and parameter estimation techniques. Generally, parameters for PDMs are estimated with the method of moments(MOM), probability weighted moments(PWM), and maximum likelihood (ML). In this work, we tried to estimate the parameters of PDMs for wind speed data using a recently developed meta-heuristic approach known as a harmony search (HS) that is a phenomenon-mimicking algorithm. The performance of the HS is compared to the genetic algorithm (GA) and conventional method (i.e.,ML) via simulation and case study.

키워드

Genetic algorithm Harmony search Maximum likelihood estimator Probability distribution model Wind speed