[HTML][HTML] The latest innovative avenues for the utilization of artificial Intelligence and big data analytics in water resource management

H Kamyab, T Khademi, S Chelliapan… - Results in …, 2023 - Elsevier
The effective management of water resources is essential to environmental stewardship and
sustainable development. Traditional approaches to water resource management (WRM) …

[HTML][HTML] Flow forecasting for leakage burst prediction in water distribution systems using long short-term memory neural networks and Kalman filtering

L McMillan, J Fayaz, L Varga - Sustainable Cities and Society, 2023 - Elsevier
Reducing pipe leakage is one of the top priorities for water companies, with many investing
in higher quality sensor coverage to improve flow forecasting and detection of leaks. Most …

Electric Water Boiler Energy Prediction: State-of-the-Art Review of Influencing Factors, Techniques, and Future Directions

IA Kachalla, C Ghiaus - Energies, 2024 - mdpi.com
Accurate and efficient prediction of electric water boiler (EWB) energy consumption is
significant for energy management, effective demand response, cost minimisation, and …

Multi-step ahead urban water demand forecasting using deep learning models

BB Sahoo, B Panigrahi, T Nanda, MK Tiwari… - SN Computer …, 2023 - Springer
Accurate prediction of water demand in a city is crucial for the management of urban water
distribution system. The current study aims to create adequate daily water demand …

Enhancing water management in shale gas extraction through rectangular pulse hydraulic fracturing

MA Badjadi, H Zhu, C Zhang, MH Naseem - Sustainability, 2023 - mdpi.com
Although conventional hydraulic fracturing techniques have revolutionized shale gas
development, they have raised concerns regarding water management and environmental …

Efficient real-time cost optimization of a two-layer electric water heater system under model uncertainties

S El Bakali, H Ouadi, S Gheouany - Energy Conversion and Management, 2024 - Elsevier
The objective of this paper is to implement an automated system for the control of all energy
resources and devices within smart buildings. The paper develops a Two-Layer Electric …

Revealing the urban heat Island: Investigating spatiotemporal surface temperature dynamics, modeling, and interactions with controllable and non-controllable factors

A Mathew, KS Arunab, AK Sharma - Remote Sensing Applications: Society …, 2024 - Elsevier
The unchecked growth of urban populations has spurred rapid and unsustainable urban
expansion, exacerbating environmental degradation both locally and globally. This research …

Enhancing the explanation of household water consumption through the water-energy nexus concept

Z Li, C Wang, Y Liu, J Wang - npj Clean Water, 2024 - nature.com
Estimating household water consumption can facilitate infrastructure management and
municipal planning. The relatively low explanatory power of household water consumption …

[HTML][HTML] Predicting residential water and electricity usage profiles with a temporal histogram model

MJ Ritchie, JAA Engelbrecht, MJ Booysen - Sustainable Cities and Society, 2023 - Elsevier
The temporal histogram model and synthesiser that is presented in this paper statistically
models the unique usage behaviour of electricity or hot water usage for individual residential …

Applications of Artificial Intelligence for Demand Forecasting

TTH Nguyen - Operations and Supply Chain Management …, 2023 - journal.oscm-forum.org
Artificial Intelligence (AI) has significantly contributed to the growth of various sectors and
industries. One of the most significant contributions of AI applications is in forecasting …