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Towards the Development of an Intelligent Control for LED lighting with Solar Energy and Energy Storage for a Jogging Track in the Countryside
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Physics (from 2013).ORCID iD: 0000-0002-6865-7346
Karlstad University, Faculty of Arts and Social Sciences (starting 2013), Karlstad Business School (from 2013).
Glava Energy Center, Glava, Sweden.
Glava Energy Center, Glava, Sweden.
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2025 (English)In: 2025 IEEE/SICE International Symposium on System Integration, SII 2025, Institute of Electrical and Electronics Engineers (IEEE), 2025, p. 161-162Conference paper, Published paper (Refereed)
Abstract [en]

Our research aims to develop an intelligent control system for optimizing the operation of lighting systems for a jogging track in the countryside by using adaptive control methods, and optimization of built-in lighting control. Through this, lighting systems will be optimized, energy consumption will be minimized and the lighting system will be adapted to be able to handle a larger amount of local renewable energy production. Due to the level of complexity, in this paper, we have focused to integrate a commercial lighting control system and the solar energy system with energy storage. In particular, their respective components were selected and integrated by means of a distributed control architecture. An API was developed by using the design science research methodology aiming at bridging proprietary systems for sustainable lighting solutions. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2025. p. 161-162
Keywords [en]
Lighting, Lighting fixtures, Adaptive control methods, Adaptive control optimizations, Energy, Energy-consumption, Large amounts, LED lighting, Lighting controls, Lighting systems, Local renewable, Renewable energies, Adaptive control systems
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kau:diva-104069DOI: 10.1109/SII59315.2025.10871034Scopus ID: 2-s2.0-86000234092OAI: oai:DiVA.org:kau-104069DiVA, id: diva2:1954678
Conference
2025 IEEE/SICE International Symposium on System Integration, SII 2025, January 21-24, 2025, Munich, Germany
Available from: 2025-04-25 Created: 2025-04-25 Last updated: 2026-02-12Bibliographically approved

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Solis, Jorge

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Citation style
  • apa
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