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Smart Growth Strategies: A Machine Learning Framework for Population-Driven Water and Energy Demand Forecasting in Urban Planning

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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spellingShingle Smart Growth Strategies: A Machine Learning Framework for Population-Driven Water and Energy Demand Forecasting in Urban Planning
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title Smart Growth Strategies: A Machine Learning Framework for Population-Driven Water and Energy Demand Forecasting in Urban Planning
title_auth Smart Growth Strategies: A Machine Learning Framework for Population-Driven Water and Energy Demand Forecasting in Urban Planning
title_full Smart Growth Strategies: A Machine Learning Framework for Population-Driven Water and Energy Demand Forecasting in Urban Planning
title_fullStr Smart Growth Strategies: A Machine Learning Framework for Population-Driven Water and Energy Demand Forecasting in Urban Planning
title_full_unstemmed Smart Growth Strategies: A Machine Learning Framework for Population-Driven Water and Energy Demand Forecasting in Urban Planning
title_short Smart Growth Strategies: A Machine Learning Framework for Population-Driven Water and Energy Demand Forecasting in Urban Planning
title_sort smart growth strategies: a machine learning framework for population-driven water and energy demand forecasting in urban planning
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11366662