dc.contributor.author | Theocharides, Spyros | en |
dc.contributor.author | Kynigos, Marios | en |
dc.contributor.author | Theristis, Marios | en |
dc.contributor.author | Makrides, George | en |
dc.contributor.author | Georghiou, George E. | en |
dc.creator | Theocharides, Spyros | en |
dc.creator | Kynigos, Marios | en |
dc.creator | Theristis, Marios | en |
dc.creator | Makrides, George | en |
dc.creator | Georghiou, George E. | en |
dc.date.accessioned | 2021-01-26T09:45:37Z | |
dc.date.available | 2021-01-26T09:45:37Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/63319 | |
dc.description.abstract | Accurate solar irradiance forecasting is important for improving forecasting precision of photovoltaic (PV) power. In this study, an intra-day (i.e. 1 to 6 hours ahead) machine learning model based on an artificial neural network (ANN) was implemented for forecasting the intra-day incident solar irradiance (GI). The methodology included the implementation of the optimal ANN topology which was trained and validated on historical yearly datasets. The forecasting results demonstrated a normalised root mean square error (nRMSE) in the range of 4.23% to 9.51%. The lowest nRMSE of 4.23% was achieved for the hour-ahead forecast while the highest nRMSE of 9.51% was observed when forecasting at a horizon of 6 hours ahead. Finally, the mean absolute percentage error (MAPE) varied from 4.10% to 8.19% for the 1 hour to 6 hours ahead forecasts respectively. | en |
dc.source | 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) | en |
dc.title | Intra-day Solar Irradiance Forecasting Based on Artificial Neural Networks | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1109/PVSC40753.2019.8980480 | |
dc.description.startingpage | 1628 | |
dc.description.endingpage | 1631 | |
dc.author.faculty | Πολυτεχνική Σχολή / Faculty of Engineering | |
dc.author.department | Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering | |
dc.type.uhtype | Conference Object | en |
dc.contributor.orcid | Georghiou, George E. [0000-0002-5872-5851] | |
dc.contributor.orcid | Theristis, Marios [0000-0002-7265-4922] | |
dc.contributor.orcid | Theocharides, Spyros [0000-0003-2164-6081] | |
dc.contributor.orcid | Makrides, George [0000-0002-0327-0386] | |
dc.gnosis.orcid | 0000-0002-5872-5851 | |
dc.gnosis.orcid | 0000-0002-7265-4922 | |
dc.gnosis.orcid | 0000-0003-2164-6081 | |
dc.gnosis.orcid | 0000-0002-0327-0386 | |