☆ 4.5 Article

Artificial intelligence for decentralized water systems: a smart planning agent based on reinforcement learning for off-grid camp water infrastructures

JOURNAL OF HYDROINFORMATICS (2023)

Related references

Note: Only part of the references are listed.

Article Engineering, Civil

Assessment and Evaluation of IWRM Implementation in Palawan, Philippines

Jennifer C. Cacal et al.

Summary: According to the United Nation's Sustainable Development Goal (SDG 6), the Philippines is committed to sustainably managing water resources through integrated water resource management (IWRM). However, there is currently a lack of consolidated data on the implementation of IWRM at the sub-national level. This study focuses on Palawan Province and finds that while there are existing water management schemes, their full potential is hindered by various constraints.

CIVIL ENGINEERING JOURNAL-TEHRAN (2022)

Add to Collection

Article Green & Sustainable Science & Technology

In silico assessment of household level closed water cycles: Towards extreme decentralization

Arjen Van de Walle et al.

Summary: This study explores the potential of extreme decentralization in water resource management, proposing key performance indicators through modeling and quantitative assessment, and addressing the issue of contaminant accumulation in circular systems. The findings provide support for the operation and technological decision-making of decentralized household-scale water systems, as well as guidance for future water policy-making.

ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Super ensemble learning for daily streamflow forecasting: large-scale demonstration and comparison with multiple machine learning algorithms

Hristos Tyralis et al.

Summary: Traditional daily streamflow forecasting using a single machine learning algorithm is limited to few case studies. This study proposes super learning, combining 10 machine learning algorithms, and demonstrates superior predictive performance over other methods using a large dataset.

NEURAL COMPUTING & APPLICATIONS (2021)

Add to Collection

Article Environmental Sciences

Artificial intelligence in the water domain: Opportunities for responsible use

Neelke Doorn

Summary: In recent years, there has been a rapid development of artificial intelligence technology and many countries have put forward initiatives to develop responsible AI aligned with human and ethical values. The application of AI technology in the water domain is relatively limited, but has great potential. The development and application of responsible AI techniques for the water sector require collaborative efforts between water professionals and data scientists, along with expertise from social sciences and humanities.

SCIENCE OF THE TOTAL ENVIRONMENT (2021)

Add to Collection

Article Engineering, Civil

Complex Linkage between Watershed Attributes and Surface Water Quality: Gaining Insight via Path Analysis

Afed Ullah Khan et al.

Summary: Understanding the direct, indirect, and total effects of socioeconomic, terrestrial, and hydrological factors on surface water quality is crucial for ecosystem health protection. Path analysis in Pakistan's Indus basin revealed how population density and land use influence river runoff and water quality. Implementing Best Management Practices, precision farming, and modern irrigation techniques can help reduce pollutant entry and protect the ecosystem.

CIVIL ENGINEERING JOURNAL-TEHRAN (2021)

Add to Collection

Review Computer Science, Interdisciplinary Applications

A review On reinforcement learning: Introduction and applications in industrial process control

Rui Nian et al.

COMPUTERS & CHEMICAL ENGINEERING (2020)

Add to Collection

Article Water Resources

Deep reinforcement learning for the real time control of stormwater systems

Abhiram Mullapudi et al.

ADVANCES IN WATER RESOURCES (2020)

Add to Collection

Article Energy & Fuels

Developing a methodology to recover the cost of wastewater reuse: A proposal based on the polluter pays principle

Ines Ruiz-Rosa et al.

UTILITIES POLICY (2020)

Add to Collection

Article Environmental Sciences

Towards Circular Water Neighborhoods: Simulation-Based Decision Support for Integrated Decentralized Urban Water Systems

Dimitrios Bouziotas et al.

WATER (2019)

Add to Collection

Review Construction & Building Technology

A review of optimization approaches for hybrid distributed energy generation systems: Off-grid and grid-connected systems

Ssennoga Twaha et al.

SUSTAINABLE CITIES AND SOCIETY (2018)

Add to Collection

Article Multidisciplinary Sciences

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

David Silver et al.

SCIENCE (2018)

Add to Collection

Review Green & Sustainable Science & Technology

Prospects of hybrid rainwater-greywater decentralised system for water recycling and reuse: A review

Janet Yip Cheng Leong et al.

JOURNAL OF CLEANER PRODUCTION (2017)

Add to Collection

Article Computer Science, Artificial Intelligence

Do machine learning methods used in data mining enhance the potential of decision support systems? A review for the urban water sector

Antonia Hadjimichael et al.

AI COMMUNICATIONS (2016)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions

H. R. Maier et al.

ENVIRONMENTAL MODELLING & SOFTWARE (2014)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Source to tap urban water cycle modelling

Evangelos Rozos et al.

ENVIRONMENTAL MODELLING & SOFTWARE (2013)

Add to Collection

Article Engineering, Environmental

A Sustainability Assessment of the Rainwater Harvesting System for Drinking Water Supply: A Case Study of Cukhe Village, Hanoi, Vietnam

Duc Canh Nguyen et al.

Environmental Engineering Research (2013)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Effect of parameter uncertainty on water quality predictions in distribution systems-case study

M. F. K. Pasha et al.

JOURNAL OF HYDROINFORMATICS (2010)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Data-driven modelling: some past experiences and new approaches

Dimitri P. Solomatine et al.

JOURNAL OF HYDROINFORMATICS (2008)

Add to Collection

Article Engineering, Civil

Neural networks and reinforcement learning in control of water systems

B Bhattacharya et al.

JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT (2003)

Add to Collection

© Peeref 2019-2024. All rights reserved.