Digital twin and explainable ai for energy optimization in agri-pv viticulture

This PhD thesis is part of the European Agri-PV project (Interreg Upper Rhine, 2025–2028): https://www.interreg-rhin-sup.eu/projet/agri-pv , which explores agrivoltaics in viticulture as a solution to climate and energy challenges. This cross-border initiative brings together French, German, and Swiss academic and industrial partners who test different photovoltaic systems and study their impacts on viticulture, electricity yield, and landscape. Three pilot sites (in Rhineland-Palatinate, Baden-Württemberg, and Switzerland) are equipped with Agri-PV systems and gather data (PV production, microclimate, vine development, etc.) to design monitoring tools and practical guides for winegrowers and local authorities. By promoting dual land use, Agri-PV aims to diversify winegrowers’ income, enhance the resilience of local electricity grids, and support the regional energy transition. The key challenge is to leverage these interdisciplinary datasets and systems (PV, agriculture, energy grids) to optimize self-consumption and renewable energy management in Upper Rhine vineyards.