6 Art�culos

Short-Term Water Demand Forecasting Model Combining Variational Mode Decomposition and Extreme Learning Machine

Acceso

en l�nea

Youngmin Seo, Soonmyeong Kwon and Yunyoung Choi

Accurate water demand forecasting is essential to operate urban water supply facilities efficiently and ensure water demands for urban residents. This study proposes an extreme learning machine (ELM) coupled with variational mode decomposition (VMD) for ... ver m�s

Revista: Hydrology Formato: Electr�nico

Tabla de contenido: Vol: 5 Num: 0 Par: 4 A�o: 2018

River Stage Modeling by Combining Maximal Overlap Discrete Wavelet Transform, Support Vector Machines and Genetic Algorithm

Acceso

en l�nea

Youngmin Seo, Yunyoung Choi, Jeongwoo Choi P�g. 1 - 24

This paper proposes a river stage modeling approach combining maximal overlap discrete wavelet transform (MODWT), support vector machines (SVMs) and genetic algorithm (GA). The MODWT decomposes original river stage time series into sub-time series (detai... ver m�s

Revista: Water Formato: Electr�nico

Tabla de contenido: Vol: 9 Num: 7 Par: 0 A�o: 2017

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