| An overview of performance evaluation metrics for short-term statistical wind power forecasting JM González-Sopeña, V Pakrashi, B Ghosh Renewable and Sustainable Energy Reviews 138, 110515, 2021 | 135 | 2021 |
| A spiking neural network based wind power forecasting model for neuromorphic devices JM González Sopeña, V Pakrashi, B Ghosh Energies 15 (19), 7256, 2022 | 10 | 2022 |
| Multi-step ahead wind power forecasting for Ireland using an ensemble of VMD-ELM models JM González-Sopeña, V Pakrashi, B Ghosh 2020 31st Irish Signals and Systems Conference (ISSC), 1-5, 2020 | 10 | 2020 |
| Can we improve short-term wind power forecasts using turbine-level data? A case study in Ireland JM González Sopeña, V Pakrashi, B Ghosh 2021 IEEE Madrid PowerTech, 1-6, 2021 | 8 | 2021 |
| Decomposition-Based Hybrid Models for Very Short-Term Wind Power Forecasting JM González Sopeña, V Pakrashi, B Ghosh Engineering Proceedings 5 (1), 39, 2021 | 7 | 2021 |
| A benchmarking framework for performance evaluation of statistical wind power forecasting models JMG Sopeña, V Pakrashi, B Ghosh Sustainable Energy Technologies and Assessments 57, 103246, 2023 | 6 | 2023 |
| Wind Power Prediction and Early Downtime Detection for Ireland V Pakrashi, B Bhowmik, JM González-Sopeña, P Mucchielli, B Ghosh | 5 | 2020 |
| Turbine-level clustering for improved short-term wind power forecasting JMG Sopeña, C Maury, V Pakrashi, B Ghosh Journal of Physics: Conference Series 2265 (2), 022052, 2022 | 4 | 2022 |
| Interval prediction for short-term traffic forecasting using hybrid mode decomposition models JM González Sopeña, V Pakrashi, B Ghosh 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 3 | 2021 |
| Travel Time Prediction Utilizing Hybrid Deep Learning Models D Bharathi, JMG Sopeña, S Clarke, B Ghosh Transportation Research Record 2678 (4), 56-65, 2024 | 2 | 2024 |
| Neuromorphic computing for short-term wind power forecasting JM González Sopeña, V Pakrashi, B Ghosh | 1* | 2022 |
| Ensemble Empirical Mode Decomposition Based Deep Learning Model for Short-Term Wind Power Forecasting JM González-Sopeña, V Pakrashi, B Ghosh Floating Offshore Energy Devices: GREENER 20, 58, 2022 | 1 | 2022 |
| Aphelion Wind: A Decision-Support Tool for Wind Farm Operators JMG Sopeña, RC Rubio, A de la Iglesia Núñez, FJD Guadamillas, ... 104th AMS Annual Meeting, 2024 | | 2024 |
| Short-term power prediction and downtime classification JM González-Sopeña, B Ghosh, P Mucchielli, B Bhowmik, V Pakrashi Wind Energy Engineering, 489-498, 2023 | | 2023 |
| Short-term wind power forecasting: standardization, evaluation and optimization of prediction uncertainty JMG Sopeña Trinity College Dublin, 2022 | | 2022 |
| How poorly does my forecast perform under a wrong ARIMA model? A decomposition-based simulation algorithm for assessment JMG Sopena, T Dasgupta, V Pakrashi, H Xiao, B Ghosh | | |
Bidisha GhoshAssociate Professor, School of Engineering, Trinity College DublinVerified email at tcd.ie
