Hybrid approach for accurate water demand prediction using socio-economic and climatic factors with ELM optimization

Li, Zhaohui; Wang, Gang; Lin, Danfeng; Mashhadi, Arsam

doi:10.1016/j.heliyon.2024.e25028

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2024

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Cited by 3 publications

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Statistical Methods in Forecasting Water Consumption: A Review of Previous Literature

Mukhlif,

Mustafa,

Al-Somaydaii

2024

Current Trends in Civil Engineering and Engineering Sciences 2024, Vol 1

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Statistical Methods in Forecasting Water Consumption: A Review of Previous Literature

Mukhlif,

Mustafa,

Al-Somaydaii

2024

Current Trends in Civil Engineering and Engineering Sciences 2024, Vol 1

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Literature review on optimization of transboundary water for irrigation

Hidayah,

Wiyono,

Widiarti

et al. 2024

Water Supply

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Transboundary water resources are essential for agricultural sustainability and regional development, and they are intrinsically linked to achieving the United Nations' SDGs and the water-food-energy nexus (WFE-NEXUS) concept. Despite challenges such as conflicting allocation and climate change impacts, effective transboundary water management for irrigation is crucial to meeting the SDGs of eradicating hunger, providing clean water and sanitation, offering affordable and sustainable energy, and taking climate action. This work synthesizes approaches to transboundary water for irrigation optimization, highlighting the significance of a holistic plan that considers both technical and social factors. Remote-sensing technologies, data forecasting, hydrology and hydraulic modelling, and water resource modelling all contribute to maximize water allocation and policy creation, particularly when paired with collaborative government features. This integrated approach to transboundary water for irrigation optimization fosters long-term development by improving livelihoods, resilience, and inclusive growth through efficient resource management.

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Application of a Neural Network Model to Short-Term Water Demand Forecasting

Ayyash,

Hayslep,

et al. 2024

The 3rd International Joint Conference on Water Distribution Systems Analysis &Amp;amp; Computing and Control for the Water Ind

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Hybrid approach for accurate water demand prediction using socio-economic and climatic factors with ELM optimization

Cited by 3 publications

References 25 publications

Statistical Methods in Forecasting Water Consumption: A Review of Previous Literature

Statistical Methods in Forecasting Water Consumption: A Review of Previous Literature

Literature review on optimization of transboundary water for irrigation

Application of a Neural Network Model to Short-Term Water Demand Forecasting

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