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Advanced Modeling and Optimization Technologies for Building Energy Efficiency

Special Issue Information

Dear Colleagues,

With the increase in distributed building photovoltaic, intelligent power consumption and power storage devices (such as charging piles), buildings are not only users of electric energy but also play a role in electric energy production, peak shaving, and storage. Determining how to reasonably dispatch and absorb the energy supply and demand between buildings and reduce power abandonment has posed new challenges to research on building energy systems. For example, two-way interaction between buildings and power grid requires information about instantaneous building energy consumption with high accuracy; to ensure the balance of energy supply and demand within the grid, it is necessary to establish multiscale building community energy demand models. Such problems are supported by a profound information science and engineering background and have important significance in practical applications.

This Special Issue aims to collect scientific contributions presenting results dealing with advanced modeling and optimization technologies for building energy systems, including but not limited to energy management, demand-side modeling, design and optimization of new energy systems within building energy efficiency, or related areas.

Dr. Kangji Li
Dr. Xu Chen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • building energy systems
  • demand side models
  • electrical energy systems
  • electrical load prediction
  • electrical load dispatch
  • system modeling
  • global optimization
  • transfer learning
  • swarm intelligence

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Energies - ISSN 1996-1073Creative Common CC BY license