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IoT and Big Data Analytics for Low-Energy Buildings

Call for Papers

Buildings are responsible for up to 40% of the carbon emission and have been seen to be in recent years poorly resilient to the effects of climate change. The well-known issue of the performance gap is making building designs on paper seems to be low-energy and resilient underperform when built. There could be many factors that make this happen, but the main reasons identified point to uncertainty on the quality of workmanship, weather conditions, or occupants’ behaviour. The rather unpromising situation described above is occurring at the same time as society is witnessing how information technology and data analysis are pushing a technological revolution. The number of devices in current days able to capture data is massive, and the connections of human activities with the Internet are almost full. This new paradigm is in many cases considered as the era of the Internet of Things (IoT), or the era of the Big Data (BD).

This new IoT data-driven paradigm is opening a new avenue of research that not only is being rather fruitful in terms of scientific output, but also is shown to be the stepping stone for the creation of a whole new sector in industry that could result on large added value companies and the creation of highly specialized positions. Many new paradigms are opening up to the building sector. IoT data processing now expands along the whole vertical line of data communications covering cloud computing, fog computing, or edge computing. The latter requires specific frameworks for in-building Big Data analytics. These new fields are promising on the publication of scientific papers, patents, and technological innovation.

Potential topics include but are not limited to the following:

  • Data infrastructure in domestic environments
  • Frameworks for fog/edge computing at buildings
  • Big Data analytics for low energy buildings
  • IoT and device-to-device communication at buildings
  • Distributed sensoring hardware at buildings
  • IoT-based energy monitoring techniques at buildings
  • Context awareness and activity monitoring at buildings through IoT
  • Data security and privacy policies at buildings
  • Data as the result of in-building occupant behaviour
  • Buildings and data interactions
  • City-scale IoT monitoring of energy
  • Mobile data sources and its influence on buildings
  • Pilots of IoT for low-energy buildings

Authors can submit their manuscripts through the Manuscript Tracking System at

Submission DeadlineFriday, 23 November 2018
Publication DateApril 2019

Papers are published upon acceptance, regardless of the Special Issue publication date.

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