39 citations · 68 across the 6 of their papers we have counts for
6 papers
A Wavelet, AR and SVM based hybrid method for short-term wind speed prediction
G. V. Drisya, K. Satheesh Kumar
Wind speed modelling and prediction has been gaining importance because of its significant roles in various stages of wind energy management. In this paper, we propose a hybrid mod…
Day-ahead prediction using time series partitioning with Auto-Regressive model
Dennis Cheruiyot Kiplangat, G. V. Drisya, K. Satheesh Kumar
Wind speed forecasting has received a lot of attention in the recent past from researchers due to its enormous benefits in the generation of wind power and distribution. The bigges…
Wind speed forecast using random forest learning method
G. V. Drisya, Valsaraj P., K. Asokan +1
Wind speed forecasting models and their application to wind farm operations are attaining remarkable attention in the literature because of its benefits as a clean energy source. I…
Cross-location wind speed forecasting for wind energy applications using machine learning based models
Valsaraj Perumpalot, G. V. Drisya, K. Satheesh Kumar
The widespread utilisation of grid-integrated wind electricity necessitates accurate and reliable wind speed forecasting to ensure stable grid and quality power. Machine learning a…
Universal consequences of the presence of excluded volume interactions in dilute polymer solutions undergoing shear flow
K. Satheesh Kumar, J. Ravi Prakash
The role of solvent quality in determining the universal material properties of dilute polymer solutions undergoing steady simple shear flow is examined. A bead-spring chain repres…
Equilibrium swelling and universal ratios in dilute polymer solutions: Exact Brownian dynamics simulations for a delta function excluded volume potential
K. Satheesh Kumar, J. Ravi Prakash
A narrow Gaussian excluded volume potential, which tends to a delta-function repulsive potential in the limit of a width parameter d* going to zero, has been used to examine the un…