Potential of Solar Thermal and Photovoltaic Energy in the Dairy Products Sector: A Machine Learning Framework

Abstract

This review describes the examination of a high, medium, and low-temperature generator-based triple-impact vapor ingestion refrigeration architecture by using a Machine learning framework. This appraisal makes proposals for the advancement of triple-effect fume maintenance refrigeration for warming and cooling applications in the dairy business. This investigation investigates solar warming and cooling. is applied in contemporary dairy settings. By depending on an exceptional, unbelievable asset, upgrading common sense, restricting contamination, decreasing the expenses of lessening a dangerous barometric deviation, and keeping up with oil subordinate costs lower than something different, solar energy vows to bring down power accuses of further developed headways and downsized costs. This forms nations' energy security. Utilizing different solar-situated heat improvements, the critical stock of warming is thought about to be solar-based. The discoveries recommend that fume maintenance refrigeration for warming and cooling applications in the dairy business has a triple effect associated with solar power. As the populace develops, the requirement for energy is rising rapidly in the twenty-first 100 years.