The Application of Artificial Intelligence Planning and Scheduling in Photovoltaic Plant Construction Projects

ABSTRACT Planning 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.

Authors

Institutions

Publication Details

Journal
Expert Systems
Published
2024-11-26
DOI
https://doi.org/10.1111/exsy.13798
Citations
5
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
1.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Application of Artificial Intelligence Planning and Scheduling in Photovoltaic Plant Construction Projects

Rubén González Crespo, Hernán Díaz, Jesús Gil Ruiz
5 citations
Expert Systems
BIM and Construction Integration
1.33
article

The Application of Artificial Intelligence Planning and Scheduling in Photovoltaic Plant Construction Projects

Rubén González Crespo, Hernán Díaz, Jesús Gil Ruiz
article en
5 citations

Abstract

ABSTRACT Planning 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.

Expert SystemsVol. 42(2)
Universidad de Oviedo (ES), Universidad Internacional De La Rioja (ES), Artificial Intelligence Research Institute (ES)
Openalex Percentile: Top 20%
BIM and Construction Integration
1.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.