A review of machine learning-based photovoltaic output power forecasting: Nordic context BD Dimd, S Völler, U Cali, OM Midtgård IEEE Access 10, 26404-26425, 2022 | 20 | 2022 |
Digital Twins: Shaping the Future of Energy Systems and Smart Cities through Cybersecurity, Efficiency, and Sustainability U Cali, BD Dimd, P Hajialigol, A Moazami, SNG Gourisetti, G Lobaccaro, ... 2023 International Conference on Future Energy Solutions (FES), 1-6, 2023 | 3 | 2023 |
Ultra-short-term photovoltaic output power forecasting using deep learning algorithms BD Dimd, S Völler, OM Midtgård, TM Zenebe 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), 837-842, 2022 | 3 | 2022 |
Quantification of the Impact of Azimuth and Tilt Angle on the Performance of a PV Output Power Forecasting Model for BIPVs BD Dimd, S Völler, OM Midtgård, U Cali, A Sevault IEEE Journal of Photovoltaics, 2023 | 1 | 2023 |
A Bi-Level Line-Line Fault Detection Model for Photovoltaic Arrays Using RBM-Based Automatic Feature Extraction A Nedaei, A Eskandari, J Milimonfared, BD Dimd, U Cali, M Aghaei 2023 International Conference on Future Energy Solutions (FES), 1-6, 2023 | | 2023 |
A Smart Step-by-Step Method for Fault Detection and Severity Assessment in Photovoltaic Arrays A Nedaei, A Eskandari, J Milimonfared, BD Dimd, U Cali, M Aghaei 2023 International Conference on Future Energy Solutions (FES), 1-6, 2023 | | 2023 |
Power Converters as smart instruments and actuators in a smarter grid B Dimd NTNU, 2015 | | 2015 |