A novel multi-source data-driven energy consumption prediction model for Venlo-type greenhouses in China

A novel multi-source data-driven energy consumption prediction model for Venlo-type greenhouses in China

The high energy consumption characteristic of multi-span glass greenhouses significantly limits their widespread adoption. Optimizing energy strategies and implementing predictive models for energy consumption are essential for more efficient management and reduction of greenhouse operational energy...

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Bibliographic Details
Main Authors: Yangda Chen, Aiqun Bao, Yapeng Li, Yingfeng Xiang, Wanlong Cai, Zhaoqiang Xia, Jialei Li, Mingyang Ning, Jing Sun, Haixi Zhang, Xianpeng Sun, Xiaoming Wei
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Smart Agricultural Technology
Subjects:
Greenhouse energy consumption
Multi-source data integration
Feature engineering
Predictive modeling
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375525000590
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