Demand Side Management (DSM) is a cost-effective approach to managing electricity
networks, aimed at reducing capacity requirements and costs, increasing the penetration of …

Abstract Changes in spatial planning and land management practices, regulations and
operations have frequently relied on the uptake of innovations in geospatial technologies …

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 …

In this paper, we address the controversies of epidemic control planning by developing a
novel Simulation-Deep Reinforcement Learning (SiRL) model. COVID-19 reminded …

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 …

Agent-based modeling (ABM) has been widely employed by researchers in various
domains. Developing valid and useful agent-based models (ABMs) imposes challenges on …

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 …

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 …

Healthcare and education systems have been identified by various national and
international organizations as the main pillars of communities' stability. Understanding the …

Agent-based modelling is a valuable approach for systems whose behaviour is driven by the
interactions between distinct entities. They have shown particular promise as a means of …