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Demand side management in industrial, commercial, and residential sectors: a review of constraints and considerations
Demand Side Management (DSM) is a cost-effective approach to managing electricity
networks, aimed at reducing capacity requirements and costs, increasing the penetration of …
networks, aimed at reducing capacity requirements and costs, increasing the penetration of …
A systematic review of epidemiological modelling in response to lumpy skin disease outbreaks
S Lee, CM Baker, E Sellens, MA Stevenson… - Frontiers in Veterinary …, 2024 - frontiersin.org
Lumpy skin disease (LSD) is an infectious disease currently spreading worldwide and poses
a serious global threat. However, there is limited evidence and understanding to support the …
a serious global threat. However, there is limited evidence and understanding to support the …
Multi-agent systems and digital twins for smarter cities
T Clemen, N Ahmady-Moghaddam… - Proceedings of the …, 2021 - dl.acm.org
An intelligent combination of the Internet of Things (IoT) and approaches to modeling and
simulation is one of the most challenging endeavors for future cities, manufacturing …
simulation is one of the most challenging endeavors for future cities, manufacturing …
A simulation-deep reinforcement learning (SiRL) approach for epidemic control optimization
S Bushaj, X Yin, A Beqiri, D Andrews… - Annals of Operations …, 2023 - Springer
In this paper, we address the controversies of epidemic control planning by develo** a
novel Simulation-Deep Reinforcement Learning (SiRL) model. COVID-19 reminded …
novel Simulation-Deep Reinforcement Learning (SiRL) model. COVID-19 reminded …
A framework proposal for machine learning-driven agent-based models through a case study analysis
Agent-based modeling (ABM) has been widely employed by researchers in various
domains. Develo** valid and useful agent-based models (ABMs) imposes challenges on …
domains. Develo** valid and useful agent-based models (ABMs) imposes challenges on …
Exploring city digital twins as policy tools: A task-based approach to generating synthetic data on urban mobility
This article discusses the technology of city digital twins (CDTs) and its potential applications
in the policymaking context. The article analyzes the history of the development of the …
in the policymaking context. The article analyzes the history of the development of the …
Assessing fuel economy and NOx emissions of a hydrogen engine bus using neural network algorithms for urban mass transit systems
S Kim, J Kim - Energy, 2023 - Elsevier
The transition from compressed natural gas (CNG) to hydrogen has begun in mass
transportation applications in Seoul, South Korea. This study investigates the feasibility of …
transportation applications in Seoul, South Korea. This study investigates the feasibility of …
Coupling an agent-based model and an ensemble Kalman filter for real-time crowd modelling
Agent-based modelling has emerged as a powerful tool for modelling systems that are
driven by discrete, heterogeneous individuals and has proven particularly popular in the …
driven by discrete, heterogeneous individuals and has proven particularly popular in the …
Optimal preventive maintenance, repair, and replacement program for catch basins to reduce urban flooding: Integrating agent-based modeling and Monte Carlo …
Urban sprawl has resulted in great losses of vegetation areas, an increase in impervious
surfaces, and consequently the direct flow of stormwater into stream channels (ie, the …
surfaces, and consequently the direct flow of stormwater into stream channels (ie, the …
Healthcare and education networks interaction as an indicator of social services stability following natural disasters
Healthcare and education systems have been identified by various national and
international organizations as the main pillars of communities' stability. Understanding the …
international organizations as the main pillars of communities' stability. Understanding the …