Vedat Esen

ZAPP: a zero-aware photovoltaic power prediction framework

Predicting photovoltaic power generator outputs is not easy, especially when the values are near zero, because even very small errors can lead to large percentage errors. We introduce a new forecasting framework, ZAPP (Zero-Aware Photovoltaic Power Predictor), that handles near-z...

A cluster-aware XAI-MCDM framework for province-level solar PV suitability screening in Turkey using real operational PV data

Abstract Identifying suitable regions for solar photovoltaic (PV) deployment is commonly addressed through GIS- and multi-criteria decision-making (MCDM)-based frameworks; however, criterion weights in such studies are often derived from expert judgement or purely statistical ass...

A Data-Driven Framework for Condition Monitoring and Early Warning of Low-Efficiency Events in Photovoltaic Systems

Reliable photovoltaic (PV) operation requires monitoring strategies that can detect performance degradation before it develops into persistent efficiency loss. This study proposes an interpretable data-driven framework for condition monitoring and early warning of low-efficiency...