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Proceeding Paper

Defining Data-Driven Analytical Methods on Improving Energy-Efficiency in Apartment Buildings †

Forum Virium Helsinki Oy, 00130 Helsinki, Finland
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Presented at the 7th International Electronic Conference on Sensors and Applications, 15–30 November 2020; Available online: https://ecsa-7.sciforum.net/.
Eng. Proc. 2020, 2(1), 68; https://doi.org/10.3390/ecsa-7-08209
Published: 14 November 2020
(This article belongs to the Proceedings of 7th International Electronic Conference on Sensors and Applications)
Energy efficiency is one of the key characteristics of smart cities and data-driven analytical methods, especially including Internet of Things (IoT) sensors, and meaningful indicators are provided to support initiatives but also changing behavior at the citizen level. The analysis is often undertaken in closed systems that contain sensors, data acquisition, analysis and visualization. To improve the effectiveness of energy-efficiency initiatives in climate programs, harmonization of analytical methods and quality assurance of the data are required. This paper provides an overview of these themes based on the findings from two European Union (EU)-funded projects, European Regional Development Fund (ERDF) 6Aika Climate Friendly Housing Companies and Horizon 2020 mySMARTLife. View Full-Text
Keywords: IoT; sensor data quality; energy efficiency; optimization IoT; sensor data quality; energy efficiency; optimization
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MDPI and ACS Style

Ruohomäki, T.; Andra, A.; Raivio, K. Defining Data-Driven Analytical Methods on Improving Energy-Efficiency in Apartment Buildings. Eng. Proc. 2020, 2, 68. https://doi.org/10.3390/ecsa-7-08209

AMA Style

Ruohomäki T, Andra A, Raivio K. Defining Data-Driven Analytical Methods on Improving Energy-Efficiency in Apartment Buildings. Engineering Proceedings. 2020; 2(1):68. https://doi.org/10.3390/ecsa-7-08209

Chicago/Turabian Style

Ruohomäki, Timo, Andreas Andra, and Kimmo Raivio. 2020. "Defining Data-Driven Analytical Methods on Improving Energy-Efficiency in Apartment Buildings" Engineering Proceedings 2, no. 1: 68. https://doi.org/10.3390/ecsa-7-08209

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