| A method for detailed, short-term energy yield forecasting of photovoltaic installations D Anagnostos, T Schmidt, S Cavadias, D Soudris, J Poortmans, ... Renewable Energy 130, 122-129, 2019 | 70 | 2019 |
| IoT for smart grids K Siozios, D Anagnostos, D Soudris, E Kosmatopoulos Cham, Switzerland: Springer, 30, 2019 | 44 | 2019 |
| VADER: Voltage-driven netlist pruning for cross-layer approximate arithmetic circuits G Zervakis, K Koliogeorgi, D Anagnostos, N Zompakis, K Siozios IEEE Transactions on Very Large Scale Integration (VLSI) Systems 27 (6 …, 2019 | 27 | 2019 |
| Energy yield prediction model for PV modules including spatial and temporal effects H Goverde, B Herteleer, D Anagnostos, G Kose, D Goossens, B Aldaladi, ... | 19 | 2014 |
| Artificial intelligence-based condition monitoring and predictive maintenance framework for wind turbines J Maron, D Anagnostos, B Brodbeck, A Meyer Journal of Physics: Conference Series 2151 (1), 012007, 2022 | 14 | 2022 |
| Vibration fault detection in wind turbines based on normal behaviour models without feature engineering S Jonas, D Anagnostos, B Brodbeck, A Meyer Energies 16 (4), 1760, 2023 | 13 | 2023 |
| Optimizing svm classifier through approximate and high level synthesis techniques K Koliogeorgi, G Zervakis, D Anagnostos, N Zompakis, K Siozios 2019 8th International Conference on Modern Circuits and Systems …, 2019 | 10 | 2019 |
| Accurately simulating PV energy production: exploring the impact of module build up H Goverde, D Anagnostos, J Govaerts, P Manganiello, E Voroshazi, ... | 10 | 2017 |
| Reconfigurable topologies for smarter PV modules: simulation, evaluation and implementation P Bauwens, J Govaerts, M Baka, F Catthoor, K Baert, G Van den Broeck, ... 32nd EU PVSEC, 61-65, 2016 | 8 | 2016 |
| Model requirements for accurate shot term energy yield predictions during fast-varying weather conditions H Goverde, D Anagnostos, B Herteleer, J Govaerts, K Baert, B Aldalali, ... | 7 | 2015 |
| Demonstration and validation of an energy yield prediction model suitable for non-steady state non-uniform conditions D Anagnostos, H Goverde, B Herteleer, F Catthoor, D Soudris, J Driesen, ... | 7 | 2014 |
| Systematic cross-validation of photovoltaic energy yield models for dynamic environmental conditions D Anagnostos, H Goverde, F Catthoor, D Soudris, J Poortmans Solar Energy 155, 698-705, 2017 | 5 | 2017 |
| Presentation of a Verilog-AMS model for detailed transient electro-thermal simulations of PV modules and systems D Anagnostos, H Goverde, F Catthoor, D Soudris | 4 | 2014 |
| PV energy yield nowcasting combining sky imaging with simulation models D Anagnostos, S Thomas, H Goverde, J Kalisch, F Catthoor, D Soudris | 3 | 2015 |
| Solar Energy Forecasting in the Era of IoT Enabled Smart Grids D Anagnostos IoT for Smart Grids - Design Challenges and Paradigms, 2019 | 2 | 2019 |
| Evaluation of a detailed electro-thermal PV model on a 62.5 kWp installation D Anagnostos, K Paasch, H Goverde, F Catthoor, D Soudris | 2 | 2016 |
| Towards efficient and accurate energy yield modelling of bifacial PV systems IT Horvath, P Manganiello, H Goverde, D Anagnostos, B Aldalali, ... | 1 | 2018 |
| Impact of wind on intra-module energy yield variations H Goverde, G Van den Broeck, D Anagnostos, B Herteleer, J Govaerts, ... | 1 | 2016 |
| Method and device for determining energy system operating scenario D Anagnostos, F Catthoor, J Goverde US Patent 10,956,993, 2021 | | 2021 |
| A Design Flow Framework for Fully-Connected Neural Networks Rapid Prototyping N Zompakis, D Anagnostos, K Koliogeorgi, G Zervakis, K Siozios Proceedings of the International Conference on Omni-Layer Intelligent …, 2019 | | 2019 |
Dimitrios SoudrisProfessor, Electrical & Computer Eng., National Technical Univ. of AthensBestätigte E-Mail-Adresse bei microlab.ntua.gr
