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Submit a Manuscript to the Journal
Journal of Building Performance Simulation

For a Special Issue on
Data-Driven Energy Modeling and Simulation Techniques for Smart Buildings

Manuscript deadline
20 October 2021

Cover image - Journal of Building Performance Simulation

Special Issue Editor(s)

Dr. S. Balamurugan (Leading Guest Editor), Albert Einstein Engineering and Research Labs (AEER Labs)
[email protected]

Dr. BalaAnand Muthu, Adhiyamaan College of Engineering
[email protected]

Dr. Sheng-Lung Peng, National Taipei University of Business
[email protected]

Dr. Mohd Helmy Abd Wahab, Universiti Tun Hussein Onn Malaysia
[email protected]

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Data-Driven Energy Modeling and Simulation Techniques for Smart Buildings

Overview of the Theme:

Currently, the application of smart buildings has grown exponentially over the years, and it may even grow at a faster pace shortly. It becomes an essential part of smart cities today, as it offers numerous benefits to the digitally connected world. Smart buildings, coupled with various sensors and IoT devices, consume a tremendous amount of power sources to operate efficiently. Right from motion detectors to lighting systems, everything in smart buildings is automated, and it revolves around the key concept of energy resources. When equipped with smart home systems, data-driven energy modeling and simulation techniques can significantly transfer the world of smart cities. It brings them a way forward towards the future generation of the digital era. In the context of data-driven energy modeling and simulation, a simulation model is created using the sensor data acquired from smart buildings, and it is used for various managerial and technical decision-making processes.  It potentially changes the way how energy is stored and processed across various parts of smart homes.  On the other side, with growing population and urbanization, the demand to design, build, and operate the smart buildings of tomorrow with data-driven intelligent simulation techniques has become crucial to minimize carbon emission, energy consumption and reduce homeowner and building costs. Energy modeling and simulation techniques may be one of the ways to revolutionize the world of smart buildings with considerable solutions. Besides, it offers an endless opportunity for researchers in information and communication technology to explore the unique possibilities of intelligent modeling and simulation technologies in the future. However, establishing this objective for smart buildings is not a simple process, and it may raise numerous research challenges.

To effectively address this concern, this special issue aims to gather researchers and practitioners from this discipline to discuss present and future challenges of integrating data-driven energy modeling and simulation technologies for smart homes with possible solutions. Additionally, this special issue aims to bring out innovative energy conservation simulation models for smart homes with financial, economic, environmental, and social benefits. It further aims to explore various factors that drive customers of today's scenario to adopt data-driven energy modeling and simulation technologies for their smart home applications. The integration of such techniques to multiple aspects of smart homes such as lighting, water heating, window coverings, kitchen, and laundry appliances are explored in detail to derive the most optimized energy conservation, storage, distribution, and control systems for smart building applications. We invite novel and original research works against this background.

The topics of interest for the special issue include, but not limited to the following:

  • Data-driven simulation for energy-consumption estimation in smart buildings
  • Future intelligent building system modeling and simulation from an energy perspective
  • Advanced mathematical simulation models and techniques for managing energy across smart buildings
  • Innovative data-driven energy modeling and simulation techniques for energy conservation, storage, and distribution
  • Artificial intelligence and big data assisted energy models and simulation techniques for smart buildings
  • Role of new sensors and intelligent techniques in energy modeling and simulation of smart buildings
  • Smart environment monitoring and control using innovative simulation technologies and models
  • Data-driven energy modeling approaches for device control in smart buildings
  • Intelligent sensing models and simulation techniques for smart buildings
  • Advances in smart home monitoring and control with energy-aware wireless sensor computing methodologies and data-driven artificial intelligence techniques
  • Service oriented simulation architectures and frameworks for intelligent building management and energy conservation

Submission Instructions

  • Submission Deadline of Papers:  20.10.2021
  • Authors Notification Date: 24.12.2021
  • Revised Papers Due Date: 28.02.2022
  • Final Notification Date: 25.04.2022

Instructions for AuthorsSubmit an Article