Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Mechanistic Models: Overview of Compartment Models

Mechanistic Models: Overview of Compartment Models

Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...

Modeling and Similitude

Modeling and Similitude

Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...

Design Example: Sustainability in Concrete Building

Design Example: Sustainability in Concrete Building

As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
There are multiple approaches to achieve sustainability in a commercial concrete building. For instance, construct a concrete parking area under the building, utilizing pervious concrete paver blocks in open areas to facilitate rainwater collection through an underground...

A Single-Component System

A Single-Component System

In the field of chemistry, the terms "component" and "phase" hold significant importance. A component refers to a chemically distinct substance in a system that has specific properties. It is chemically homogeneous, meaning it has the same properties throughout. For example, in a mixture of salt and water, both salt and water are considered separate components because they have different chemical properties.On the other hand, a phase is a form of matter that has a consistent chemical...

Virtual Work for a System of Connected Rigid Bodies

Virtual Work for a System of Connected Rigid Bodies

Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
Next,...

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Real-world analysis of multiple myeloma treatments in England using the Cancer Analysis System registry.

Scientific reports·2026

Same author

A long-lasting gel-based diffuser of feline pheromone can help reduce undesirable behaviors in cats at home: comparison with an electric diffuser.

Frontiers in veterinary science·2024

Same author

An unusual case of eccrine porocarcinoma on the axilla with nodal involvement: A case report.

SAGE open medical case reports·2024

Same author

Use of mirtazapine in the treatment of canine behaviour problems: A review of 32 cases.

The Veterinary record·2023

Same author

Repetitive Behaviors in Dogs.

The Veterinary clinics of North America. Small animal practice·2023

Same author

A more ecological perspective on human-robot interactions.

The Behavioral and brain sciences·2023

Search research articles

Related Experiment Video

Updated: Mar 12, 2026

Finite Element Modelling of a Cellular Electric Microenvironment

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

Component-Based Modelling for Scalable Smart City Systems Interoperability: A Case Study on Integrating Energy Demand

Esther Palomar¹, Xiaohong Chen², Zhiming Liu³

¹School of Computing and Digital Technology, Birmingham City University, Birmingham B4 7XG, UK. esther.palomar@bcu.ac.uk.

Sensors (Basel, Switzerland)

|November 2, 2016

Summary

This study introduces a scalable architecture for cooperative energy demand response (DR) systems in smart cities. The new model ensures reliable coordination and interoperability among diverse smart home components.

Keywords:

component system interoperability and coordination component-based architecture design cooperative demand response scalable modelling smart city system modelling

More Related Videos

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Related Experiment Videos

Last Updated: Mar 12, 2026

Finite Element Modelling of a Cellular Electric Microenvironment

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Area of Science:

Computer Science
Engineering
Energy Systems

Background:

Smart city systems face challenges in climate change, energy efficiency, and service integration.
Complex cyber-physical systems require robust modeling for design, analysis, and verification.
Coordinating energy usage among households is crucial for smart grid development.

Purpose of the Study:

To define and implement a scalable component-based architecture for cooperative energy demand response (DR).
To ensure interoperability and correctness in coordinating heterogeneous components within smart city energy systems.

Main Methods:

The study extends the refinement calculus for component and object system (rCOS) modelling method.
A new architecture, refinement of Cyber-Physical Component Systems (rCPCS), was developed.
Implementation utilized Eclipse Extensible Coordination Tools (ECT) with the Reo coordination language.

Main Results:

The rCPCS architecture was successfully implemented using Reo.
The implementation specifies communication, synchronization, and cooperation among system components.
The design inherently assures scalability and interoperability of component cooperation.

Conclusions:

The proposed rCPCS architecture provides a scalable and interoperable solution for cooperative energy demand response systems.
This approach enhances the trustworthiness and efficiency of smart city energy management.
The model facilitates the integration and analysis of complex cyber-physical systems in urban environments.