Machine learning approaches for real-time forecasting of solar still distillate output

Machine learning approaches for real-time forecasting of solar still distillate output

Solar stills provide a promising avenue for freshwater production in regions grappling with water scarcity, especially remote locales. However, their efficiency is often constrained by the variable climatic conditions. Conventional prediction methods fall short in consistently forecasting the yield,...

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Bibliographic Details
Main Authors: Deepak Kumar Murugan, Zafar Said, Hitesh Panchal, Naveen Kumar Gupta, Sekar Subramani, Abhinav Kumar, Kishor Kumar Sadasivuni
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Environmental Challenges
Subjects:
Solar still
Machine learning techniques
Decision tree modelling
Predictive models
Productivity estimation
Online Access:http://www.sciencedirect.com/science/article/pii/S2667010023001026

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http://www.sciencedirect.com/science/article/pii/S2667010023001026

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