{"id":35631,"date":"2025-12-17T17:16:09","date_gmt":"2025-12-17T13:16:09","guid":{"rendered":"https:\/\/cue.edu.ge\/?post_type=articles&p=35631"},"modified":"2025-12-17T17:17:01","modified_gmt":"2025-12-17T13:17:01","slug":"digital-transformation-of-the-energy-sector-the-business-model-of-energy-as-a-service","status":"publish","type":"articles","link":"https:\/\/cue.edu.ge\/en\/articles\/digital-transformation-of-the-energy-sector-the-business-model-of-energy-as-a-service\/","title":{"rendered":"Digital Transformation of the Energy Sector: The Business Model of \u201cEnergy as a Service\u201d"},"content":{"rendered":"

Archil Grigalashvili<\/strong><\/p>\n

Associate Professor, Georgian Technical University<\/p>\n

a.grigalashvili@gtu.ge<\/a><\/p>\n

 <\/p>\n

Archil Samadashvili<\/strong><\/p>\n

Professor,\u00a0 Georgian Technical University<\/p>\n

a.samadashvili@gtu.ge<\/a><\/p>\n

 <\/p>\n

Ketevan Iluridze<\/strong><\/p>\n

Assistant, Georgian Technical University<\/p>\n

ke.iluridze@gtu.ge<\/a><\/p>\n

 <\/p>\n

Abstract<\/strong><\/p>\n

\u00a0<\/strong><\/p>\n

The energy sector is facing significant challenges: population growth, the expansion of industrial production, and climate change require more flexible, efficient, and sustainable energy supply systems. The traditional model, based on centralized generation, is no longer sufficient to meet modern demands.<\/p>\n

In this context, big data has become the main driving force of energy transformation. Its five \u201cV\u201d (Volume, Velocity, Variety, Veracity, and Value) define the importance of data, while the four types of analytics (descriptive, diagnostic, predictive, and prescriptive) create a complete decision-making cycle. The proper use of big data enables the optimization of energy consumption, reduction of costs, introduction of dynamic tariffs, and creation of added value for consumers.<\/p>\n

At the core of the modern transformation of the energy sector lies the \u201cEnergy as a Service\u201d (EaaS) model. It no longer treats energy merely as a product but as a service that includes consumption analysis, savings strategies, integration of renewable sources, and automated management. Its key features are flexible tariffs, personalized services, and guarantees of energy efficiency.<\/p>\n

Digital transformation is based on the Internet of Things (IoT), smart meters, artificial intelligence, and blockchain. Artificial intelligence and machine learning provide accurate demand forecasting, grid optimization, and prevention of failures, while blockchain enhances transparency and trust.<\/p>\n

For Georgia and the South Caucasus, this model has particular importance: hydropower resources, the potential for microgrids, and experience with blockchain create a foundation for introducing innovative energy services in the region.<\/p>\n

Big data and the \u201cEnergy as a Service\u201d model are transforming the energy sector both technologically and strategically. The future belongs to data-driven services, where energy is not only a resource but also an integrated service that enhances economic efficiency, consumer engagement, and environmental sustainability<\/p>\n

Keywords<\/strong>: Big Data, Energy as a Service, Digital Transformation, Artificial Intelligence, Renewable Energy<\/p>\n

JEL: <\/strong>\u00a0Q40; C55; L94<\/p>\n

DOI: <\/strong>10.52244\/c2025.24<\/p>\n

The article is in Georgian.<\/strong><\/p>\n

References<\/strong><\/p>\n

International Energy Agency. (2022). Digitalization and Energy<\/em>. IEA. https:\/\/www.iea.org\/reports\/digitalisation-and-energy<\/a><\/p>\n

Khan, M. J., & Dilshad, S. (2020). Big data in smart grid systems: A review. Renewable and Sustainable Energy Reviews, 129,<\/em> 109913. https:\/\/doi.org\/10.1016\/j.rser.2020.109913<\/a><\/p>\n

Siemens AG. (2021). Digital Grid: Smart Infrastructure for Energy Transition<\/em>. Siemens Energy. https:\/\/new.siemens.com\/global\/en\/products\/energy.html<\/a><\/p>\n

Schneider Electric. (2020). EcoStruxure\u2122 Platform: Innovation at Every Level<\/em>. Schneider Electric. https:\/\/www.se.com\/ww\/en\/work\/campaign\/innovation\/platform.jsp<\/a><\/p>\n

Tesla Inc. (2022). Tesla Virtual Power Plant and Megapack Overview<\/em>. Tesla Energy. https:\/\/www.tesla.com\/megapack<\/a><\/p>\n

https:\/\/www.sacreee.org\/sites\/default\/files\/2023-11\/Peer%20to%20peer%20trading.pdf<\/a><\/p>\n

Zhang, Y., Wang, J., & Sun, Y. (2018). Application of blockchain technology in energy systems: A review. Applied Energy, 228,<\/em> 1646\u20131659. https:\/\/doi.org\/10.1016\/j.apenergy.2018.06.056<\/a><\/p>\n

SACREEE. (2023). Peer-to-peer trading<\/em>. Southern African Centre for Renewable Energy and Energy Efficiency. https:\/\/www.sacreee.org\/sites\/default\/files\/2023-11\/Peer%20to%20peer%20trading.pdf<\/a><\/p>\n

World Bank. (2021). Decarbonizing energy systems: Policy pathways<\/em>. Washington, DC: World Bank Group.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false},"gonisdziebebi":[103],"class_list":["post-35631","articles","type-articles","status-publish","hentry","gonisdziebebi-2025-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/cue.edu.ge\/en\/wp-json\/wp\/v2\/articles\/35631","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cue.edu.ge\/en\/wp-json\/wp\/v2\/articles"}],"about":[{"href":"https:\/\/cue.edu.ge\/en\/wp-json\/wp\/v2\/types\/articles"}],"wp:attachment":[{"href":"https:\/\/cue.edu.ge\/en\/wp-json\/wp\/v2\/media?parent=35631"}],"wp:term":[{"taxonomy":"gonisdziebebi","embeddable":true,"href":"https:\/\/cue.edu.ge\/en\/wp-json\/wp\/v2\/gonisdziebebi?post=35631"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}