Symbolic regression-based improved method for wind speed extrapolation from lower to higher altitudes for wind energy applications P Valsaraj, DA Thumba, K Asokan, KS Kumar Applied energy 260, 114270, 2020 | 24 | 2020 |
Diverse dynamical characteristics across the frequency spectrum of wind speed fluctuations GV Drisya, K Asokan, KS Kumar Renewable energy 119, 540-550, 2018 | 16 | 2018 |
Deterministic prediction of surface wind speed variations GV Drisya, DC Kiplangat, K Asokan, K Satheesh Kumar Annales Geophysicae 32 (11), 1415-1425, 2014 | 16 | 2014 |
Comparative evaluation of data requirements and level of decision support provided by decision support tools for reducing livestock-related greenhouse gas emissions DA Thumba, S Lazarova-Molnar, P Niloofar Journal of Cleaner Production 373, 133886, 2022 | 12 | 2022 |
Agent-based multi-edge network simulation model for knowledge diffusion through board interlocks CP Sankar, DA Thumba, TR Ramamohan, SSV Chandra, KS Kumar Expert Systems with Applications 141, 112962, 2020 | 12 | 2020 |
Wind speed forecast using random forest learning method GV Drisya, K Asokan, KS Kumar arXiv preprint arXiv:2203.14909, 2022 | 11 | 2022 |
Data-driven decision support tools for reducing ghg emissions from livestock production systems: Overview and challenges DA Thumba, S Lazarova-Molnar, P Niloofar 2020 7th International Conference on Internet of Things: Systems, Management …, 2020 | 8 | 2020 |
Estimating livestock greenhouse gas emissions: existing models, emerging technologies and associated challenges DA Thumba, S Lazarova-Molnar, P Niloofar 2021 6th International Conference on Smart and Sustainable Technologies …, 2021 | 6 | 2021 |
A conceptual framework for holistic assessment of decision support systems for sustainable livestock farming P Niloofar, S Lazarova-Molnar, DA Thumba, KI Shahin Ecological Indicators 155, 111029, 2023 | 4 | 2023 |
Spatio-temporal independent applicability of one time trained machine learning wind forecast models: a promising case study from the wind energy perspective P Valsaraj, D Alex Thumba, K Satheesh Kumar International Journal of Sustainable Energy 41 (9), 1164-1182, 2022 | 4 | 2022 |
A novel approach for the extrapolation of wind speed time series to higher altitude using machine learning model P Valsaraj, GV Drisya, KS Kumar 2018 International CET Conference on Control, Communication, and Computing …, 2018 | 3 | 2018 |
Machine learning-based simplified methods using shorter wind measuring masts for the time ahead wind forecasting at higher altitude for wind energy applications P Valsaraj, DA Thumba, S Kumar Renewable Energy and Environmental Sustainability 7, 24, 2022 | 2 | 2022 |
Network based periodicity detection of a time series V Vijesh, GV Drisya, KS Kumar 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 199-203, 2018 | 2 | 2018 |
Cross-location wind speed forecasting for wind energy applications using machine learning based models V Perumpalot, GV Drisya, KS Kumar arXiv preprint arXiv:1808.03480, 2018 | 1 | 2018 |
Effect of White Noise on the Structural Properties of Networks Arose from Time Series MC Mallika, GV Drisya, KSA Kumar, KS Kumar 2018 International CET Conference on Control, Communication, and Computing …, 2018 | 1 | 2018 |
Empirical mode decomposition and chaos based prediction model for wind speed oscillations GV Drisya, KS Kumar 2015 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 306-311, 2015 | 1 | 2015 |
A Wavelet, AR and SVM based hybrid method for short-term wind speed prediction GV Drisya, KS Kumar arXiv preprint arXiv:2203.15298, 2022 | | 2022 |
Day-ahead prediction using time series partitioning with Auto-Regressive model DC Kiplangat, GV Drisya, KS Kumar arXiv preprint arXiv:2203.14910, 2022 | | 2022 |
Variation of Chaotic Behaviour of Wind Speed Oscillations Across Indian Subcontinent GV Drisya, A Thumba arXiv preprint arXiv:2204.07068, 2022 | | 2022 |
Day-ahead prediction using time series partitioning with Auto-Regressive model D Cheruiyot Kiplangat, GV Drisya, K Satheesh Kumar arXiv e-prints, arXiv: 2203.14910, 2022 | | 2022 |