Data Analytics to Improve Customer Energy Efficiency

Authors

  • Michail Angelopoulos University of Piraeus
  • Yannis Pollalis Department of Economics, University of Piraeus, Greece

DOI:

https://doi.org/10.14738/abr.96.10290

Keywords:

Big Data, Data Analytics, Energy Consumption, Energy Customer Experience

Abstract

This research focuses on providing insights for a solution for collecting, storing, analyzing and visualizing data from customer energy consumption patterns. The data analysis part of our research provides the models for knowledge discovery that can be used to improve energy efficiency at both producer and consumer ends.

Τhe study sets a new analytical framework for assessing the role of behavioral knowledge in energy efficiency using a wide range of Case Studies, Experiments, Research, Information and Communication Technologies (ICT) in combination with the most modern econometric methods and large analytical data taking into account the characteristics of the study participants (household energy customers).

Author Biography

Michail Angelopoulos, University of Piraeus

Dr. Michail Angelopoulos since 2014 is Head of Planning & Financial Section at Research Center of Public Power Corporation SA (GR)The previous position in the Enterprise was Head of Research Section from 2008 – 2014. Prior was Chairman of the Board at Greek Observatory for the Information Society, and President at Prefecture Enterprise of Athens. Michail Angelopoulos was adjunct professor for operational research at Hellenic Air Force Academy, and for several years was teaching computer programming at General Mathematical Department of Technological Education Institute of Piraeus (GR). He holds a Degree in Mathematics and a MSc in Computer Science & Operational Research from University of Athens (GR). Additionally, he holds a MSc in Manufacturing: Management & Technology from The Open University (UK), a MBA from Hellenic Open University (GR), a Professional Certificate of Data Science for Executives from Columbia University (USA), and a Project Management Professional (PMP) Certificate from PMI Institute (USA). Michail Angelopoulos since 2020 is Doctor of Philosophy at University of Piraeus, Department of Economics (GR). Publications: 1. Angelopoulos, Michail and Pollalis, Yannis (2020). “Use of open data as a tool for successful lean management in public services: evidence from Greece”, Journal of Economics and Business (SPOUDAI), Vol.1-2 (8) 2. Grammatikis, P.R., Sarigiannidis, P., Iturbe, E., Rios. E., Sarigiannidis, A., Ioannidis, D., Machamint, V., Angelopoulos, M., Ramos F. (2020). “Secure and Private Smart Grid: The Spear Architecture”, Paper Conference, 6th IEEE International Conference on Network Softwarization (NetSoft2020), 2nd International Workshop on Cyber-Security Threats, Trust and Privacy Management in Software-defined and Virtualized Infrastructures (SecSoft), Ghent, Belgium. 3. Angelopoulos, Michail and Pollalis, Yannis (2019).”Critical Success Factors of Lean Management in Public Sector: Evidence from Greece”, International Journal of Management and Applied Science (IJMAS), Volume-5, Issue-10, pp12-18, DOI: IJMAS-IRAJ-DOI-16454 4. Angelopoulos, M.K., Kontakou, C.A. Pollalis, Y.A. (2019). “Lean management through digital transformation: Challenges and opportunities for the energy and public utilities industry”. Journal of Advanced Research in Management, Volume X, Winter, 2(20):57-69. DOI:10.14505/jarm.v10.2(20).01 5. Efstathopoulos, G, Grammatikis, P.R., Sarigiannidis, P., Argyriou, V., Sarigiannidis, A., Angelopoulos M. K. (2019). “Operational Data Based Intrusion Detection System for Smart Grid”, Paper Conference (Best Award), IEEE 24th International Workshop on Computer Aided Modeling and Design of Commmunication Links and Networks (CAMAD), Cyprus. Publisher:IEEE, DOI:10.1109/CAMAD.2019.8858503 6. Angelopoulos, Michail and Pollalis, Yannis (2017). “The Activity Based Costing application as a tool in supporting a Greek Public Company’s transition to a Lean Company”,Munich Personal RePEc Archive, Germany. 7. Angelopoulos, Michail and Pollalis, Yannis (2017).“Using KPIs and ABC costing system results during a Lean transformation to a Greek Public Company”, Munich Personal RePEc Archive, Germany. 8. Μ. P. Saltouros, M.Theologou, M. K. Angelopoulos, Ch. S. Ricoudis (1999), “An Efficient Evolutionary Algorithm for (Near)-Optimal Steiner Trees Calculation: an Approach to Routing of Multipoint Connections”, in Proceeding of 3rd International Conference on Computational Intelligence and Multimedia Applications (3rd ICCIMA ’99), New Delhi, India. 9. M. K Angelopoulos (1996). "Competitive European Programs The characteristics of a successful proposal", Conference Technology and Automation, Conference proceedings pp. 192-195, TEI PIRAEUS, 9-10 May 1996. Projects: Chairman of the Research Programs Committee of the Research & Standards Testing Center (June 2016 - today) Financial Signatory, Coordinator, Administrator and Member of the Research Teams of the approved European programs of PPC SA in the framework of the action Horizon 2020 of the European Union: 1. FTI Pilot-01- 2016 - Fast Track to Innovation Pilot An ultrasonic non-destructive testing system for detection and quantification of early stage subsurface creep damage in the thermal power generation industry – CREEPUT (PPC SA Budget: 866.722,50 €) 2. DS-07-2017 - Digital Security Focus Area Secure and PrivatE smart gRid– SPEAR (PPC SA Budget: 196.250,00 €) 3. SU-DS04-2018-2020 - Digital Security SDN–microgridre Silient Electrical eNergy SystEm-SDN-MicroSENSE ( PPC SA Budget: 258.750,00€) 4. Electrical Power System’s Shield against complex incidents and extensive cyber and privacy attacks - PHOENIX ( PPC SA Budget: 304.250,00 €) 5. LC-SC3-EC-4-2020 - Building A Low-Carbon, Climate Resilient Future: Secure, Clean And Efficient Energy bEhaVioral Insgihts anD Effective eNergy policy acTions – EVIDENT ( PPC SA Budget: 169.375,00 €) 6. ICT-56-2020 - Information and Communication Technologies nexT gEneRation sMart INterconnectEd ioT - TERMINET ( PPC SA Budget: 171.875,00€) Coordinator, Manager and Member of the Research Teams of the approved research programs of PPC SA in the framework of the action "RESEARCH - CREATE - INNOVATE" and the action "Bilateral Greek-German Cooperation" of the GSRT (NSRF): 1. Bioconversion of lignite power plant emissions to fuels and fine chemicals– BIOMEK ( PPC SA Budget: 490.010,00 €) 2. Efficient conversion of Greek Lignite and agricultural residues to electricity through catalyst-aided integrated gasification/SOFC and Direct Carbon Fuel Cell processes– LIGBIO GASOFC ( PPC SA Budget: 214.000,00 €) 3. Scale up of Electrochemically Promoted Catalytic Hydrogenation of CO2 for fuel production– CO2 TO FUELS ( PPC SA Budget: 270.000,00 €) 4. Injection locked (mutually coupled) Mid-infrared Interband Cascade Laser based gas sensor– ILLIAS (PPC SA Budget: 200.000,00 €) 5. Innovative protective coatings for energy and resource efficiency applications in power plants– CREATION ( PPC SA Budget: 40.000,00 €) 6. smArt mUlTi drOne insPection System for Critical EnergY Infrastructures– AUTOPSY (PPC SA Budget: 193.000,00 €)

References

Oikonomou V. Becchis F, Steg L, Russolillo . Energy saving and energy efficiency concepts for policy making. Energ Pol 2009;37:4787-4796.

European Union. Green paper on an energy strategy for sustainable, competitive and secure energy. COM(2006)0105; Brussels; 2006.

Streimikiene D, Šivickas G. The EU sustainable energy policy indicators framework. Environ Int 2008;34:1227–1240.

European Communities. Action Plan for Energy Efficiency: Realising the Potential. COM(2006)545 final; Brussels; 2006.

Hierzinger R, Albu M, van Elburg H, Scott A, Lazicki A, Penttinen L, Puente F, Sæle H. European Smart Metering Landscape Report 2012.

Siano P. Demand response and smart grids – A survey. Renewable sustainable energy Reviews 2014;30:461–478.

Wissner M. The Smart Grid – A saucerful of secrets? Applied Energy 2011;88:2509–2518.

United Nations. World’s Population Increasingly Urban with More Than Half Living in Urban Areas. 2014. Available online: https://www.un.org/en/development/desa/news/population/world-urbanization prospects-2014.html (accessed on 18 January 2020).

European Commission. Energy Use in Buildings. Available online: https://ec.europa.eu/energy/en/eubuildingsfactsheets-topics-tree/energy-use-buildings (accessed on 12 January 2020).

United Nations Climate Change. What Is the Paris Agreement? Available online: https://unfccc.int/processandmeetings/the-paris-agreement/what-is-the-paris-agreement (accessed on 18 December 2019).

https://en.wikipedia.org/wiki/K-means_clustering

Forgy, E. W. Cluster analysis of multivariate data: efficiency versus interpretability of classifications. Biometrics 21 (1965), 768-769.

Hartigan, J. A., and Wong, M. A. Algorithm as 136: A k-means clustering algorithm. Applied statistics (1979), 100-108.

Hussnain Ahmed,Applying Big Data Analytics for Energy Efficiency, Master's Thesis Espoo, August, 2014

https://www.mathworks.com/help/econ/arima-model.html

https://en.wikipedia.org/wiki/Nonintrusive_load_monitoring

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Published

2021-06-11

How to Cite

Angelopoulos, M., & Pollalis, Y. . (2021). Data Analytics to Improve Customer Energy Efficiency. Archives of Business Research, 9(6), 13–25. https://doi.org/10.14738/abr.96.10290

Issue

Vol. 9 No. 6 (2021): Archives of Business Research

Section

Articles

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Copyright (c) 2021 Michail Angelopoulos, Yannis Pollalis

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This work is licensed under a Creative Commons Attribution 4.0 International License.