ENHANCING ENERGY EFFICIENCY IN GREENHOUSES USING PCM-BASED THERMAL STORAGE SYSTEMS INTEGRATED WITH ARTIFICIAL INTELLIGENCE AND BIG DATA TECHNOLOGIES

Аннотация

This paper investigates the role of artificial intelligence (AI) and Big Data technologies in enhancing energy efficiency in greenhouses equipped with thermal storage systems based on phase change materials (PCMs). Research indicates that AI can be utilized to forecast temperature fluctuations and optimize PCM performance, while Big Data supports identifying the most efficient solutions through analysis of large datasets. Literature reviews suggest that such integrated systems can reduce energy consumption by 17–25%. However, their effectiveness varies with climatic conditions and greenhouse design, highlighting the need for system adaptation to specific environments.