KNN-Based Ensembles for Day-Ahead Forecasting of Solar Power Outputs

Pantazis, Yiannis, Kalligianaki, Evangelia, Pantazis, Yiannis, Kotsovos, Konstantinos, Gereige, Issam, Abdullah, Marwan, Tzavaras, Athanasios, Katsaounis, Theodoros, Kamarianakis, Yiannis

EuroSun 2022 · Kassel, Germany · 2022-09-25
Published by International Solar Energy Society (ISES)
DOI: 10.18086/eurosun.2022.16.09

Abstract

In this work we apply KKN-based statistical methods for producing hourly and day-ahead forecasting PV power output. Three different solar cell architectures are used in our analysis: Aluminum Back Surface Field (AlBSF), Hetero Junction (HJT) and Back Contact (BC) under real operating conditions.

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