Abstract
ABSTRACTPlanning is one of the most critical areas within Project Management, with adequate task scheduling and resource management being of vital importance, especially at the project's outset. This paper introduces an Artificial Intelligence designed for the automatic planning of photovoltaic plant (PV) construction projects, encompassing various tasks such as engineering, procurement, logistics, construction and commissioning, and including the substation and transmission line, scheduling a total of 100 tasks, which constitute a basic Engineering, Procurement and Construction project planning. The model is trained using a total of 50 real‐case project plans for PVs. The results demonstrate that the model successfully and effectively carries out photovoltaic project planning, marking a significant step towards digital transformation.
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