[图书][B] Water demand forecasting using machine learning on weather and smart metering data

M Xenochristou - 2019 - search.proquest.com
Water scarcity is a global threat due to lifestyle and climate changes, pollution of water
resources, as well as a rapidly growing population. The UK water industry's regulators …

Multivariate time series forecasting of daily urban water demand using reinforcement learning and gated recurrent unit network

Q Wang, P Wang, M Cai - Proceedings of the 2024 7th International …, 2024 - dl.acm.org
The role of water consumption prediction in urban water supply system dispatch is becoming
increasingly significant, and reliable daily water demand prediction models are of great …

Strategic foresight to applications of Geospatial Artificial Intelligence (GeoAI) to achieve disaster-related sustainable development goals

H Mahmood - 2022 - repository.unescap.org
This report is divided into five chapters. Chapter 1 highlights the need for strategic foresight
and discusses the data and methods used in the report. Chapter 2 discusses GeoAI, its …

Deep Learning Model-Based Demand Forecasting for Secondary Water Supply in Residential Communities: A Case Study of Shanghai City, China

D Li, Q Fu - IEEE Access, 2023 - ieeexplore.ieee.org
To promote intelligent water services and accelerate the water industry's modernization
process, accurately predicting regional residents' water demand and reducing energy …

Smart Irrigation System Implementing in Smart Campus

SH Pan, WE Chen, WS Chen - … , Internet of Things and Big Data …, 2023 - ieeexplore.ieee.org
Smart campus has many potential applications. As a result of advancements in various
control components and network technologies, many traditional campuses that require vast …

Artificial Intelligence–enabled self-healing infrastructure systems

L McMillan - 2024 - discovery.ucl.ac.uk
Modern infrastructure systems are grappling with increased complexity and
interdependence, struggling to predict and manage failures amid factors like population …

[PDF][PDF] MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model

MA Jahina, A Shahriara, M Al Amina - arXiv preprint arXiv …, 2024 - researchgate.net
Accurate demand forecasting is vital for optimizing supply chain management and
enhancing organizational resilience. Traditional forecasting methods, relying on simple …

Forecasting Weather and Water Management Through Machine Learning

IU Hassan, ZA Lone, S Swati, A Gamal - Innovations in Machine …, 2024 - igi-global.com
A useful tool for making data-driven decisions is machine learning. Numerous issues, such
as those pertaining to weather forecasting and water management, can be resolved using it …

Assessment of Water Consumption Behavior in Single Households Using Smart Water Meters

S Obaid, K Hosoi, K Yokota, T Inoue - 2023 - researchsquare.com
Smart water meters in households monitor hourly consumption patterns while mitigating the
cost and inconvenience associated with traditional manual meters. This study …

[PDF][PDF] DEVELOPMENT OF A SUPERVISED MACHINE LEARNING MODEL TO ENHANCE URBAN WATER SYSTEM MANAGEMENT: A CASE STUDY OF …

R VAN DER WALT - 2023 - scholar.sun.ac.za
Globally, the challenges of conserving freshwater resources are becoming increasingly
complex. Among the reasons cited by several researchers are the continuing growth of the …