Smart Window 2030: Integration of Electrochromic Glass and Machine Learning Technologies

Ricardo Manuel R. Jorge; Joana Vaz Pinto; Rui Manuel Tavares

doi:10.1109/YEF-ECE70590.2026.11614640

Smart Window 2030: Integration of Electrochromic Glass and Machine Learning Technologies

Ricardo Manuel R. Jorge, Joana Vaz Pinto, Rui Manuel Tavares

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This project aims to design and develop a new smart and independent window system that integrates three essential technologies: intelligent windows, Machine Learning (ML), and electrochromic (EC) smart glass. The latter, an increasingly emerging technology in the sustainable construction market, is expected to complement the first two, both in terms of energy efficiency and user comfort. In the proposed solution, the user can choose remotely between three different operation modes (passive, automatic and smart) in which has distinct actions for each main component (e.g. glass, window and system), in each specific situation. Finally, the prototype and its functionalities are analysed, demonstrated and tested.

Original language	English
Title of host publication	Proceedings
Subtitle of host publication	2026 10th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE)
Place of Publication	New York
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	85-90
Number of pages	6
ISBN (Electronic)	9798319505279
ISBN (Print)	9798319505286
DOIs	https://doi.org/10.1109/YEF-ECE70590.2026.11614640
Publication status	Published - 2026
Event	10th International Young Engineers Forum on Electrical and Computer Engineering, YEF-ECE 2026 - Costa da Caparica, Portugal Duration: 19 Jun 2026 → …

Publication series

Name	Proceedings - 2026 10th International Young Engineers Forum on Electrical and Computer Engineering, YEF-ECE 2026

Conference

Conference	10th International Young Engineers Forum on Electrical and Computer Engineering, YEF-ECE 2026
Country/Territory	Portugal
City	Costa da Caparica
Period	19/06/26 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Electrochromic Glass
Intelligent Window
Machine Learning

Access to Document

10.1109/YEF-ECE70590.2026.11614640

Cite this

Jorge, R. M. R., Pinto, J. V., & Tavares, R. M. (2026). Smart Window 2030: Integration of Electrochromic Glass and Machine Learning Technologies. In Proceedings: 2026 10th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE) (pp. 85-90). (Proceedings - 2026 10th International Young Engineers Forum on Electrical and Computer Engineering, YEF-ECE 2026). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/YEF-ECE70590.2026.11614640

Jorge, Ricardo Manuel R. ; Pinto, Joana Vaz ; Tavares, Rui Manuel. / Smart Window 2030 : Integration of Electrochromic Glass and Machine Learning Technologies. Proceedings: 2026 10th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE). New York : Institute of Electrical and Electronics Engineers (IEEE), 2026. pp. 85-90 (Proceedings - 2026 10th International Young Engineers Forum on Electrical and Computer Engineering, YEF-ECE 2026).

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title = "Smart Window 2030: Integration of Electrochromic Glass and Machine Learning Technologies",

abstract = "This project aims to design and develop a new smart and independent window system that integrates three essential technologies: intelligent windows, Machine Learning (ML), and electrochromic (EC) smart glass. The latter, an increasingly emerging technology in the sustainable construction market, is expected to complement the first two, both in terms of energy efficiency and user comfort. In the proposed solution, the user can choose remotely between three different operation modes (passive, automatic and smart) in which has distinct actions for each main component (e.g. glass, window and system), in each specific situation. Finally, the prototype and its functionalities are analysed, demonstrated and tested.",

keywords = "Electrochromic Glass, Intelligent Window, Machine Learning",

author = "Jorge, \{Ricardo Manuel R.\} and Pinto, \{Joana Vaz\} and Tavares, \{Rui Manuel\}",

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doi = "10.1109/YEF-ECE70590.2026.11614640",

language = "English",

isbn = "9798319505286",

series = "Proceedings - 2026 10th International Young Engineers Forum on Electrical and Computer Engineering, YEF-ECE 2026",

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Jorge, RMR, Pinto, JV & Tavares, RM 2026, Smart Window 2030: Integration of Electrochromic Glass and Machine Learning Technologies. in Proceedings: 2026 10th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE). Proceedings - 2026 10th International Young Engineers Forum on Electrical and Computer Engineering, YEF-ECE 2026, Institute of Electrical and Electronics Engineers (IEEE), New York, pp. 85-90, 10th International Young Engineers Forum on Electrical and Computer Engineering, YEF-ECE 2026, Costa da Caparica, Portugal, 19/06/26. https://doi.org/10.1109/YEF-ECE70590.2026.11614640

Smart Window 2030: Integration of Electrochromic Glass and Machine Learning Technologies. / Jorge, Ricardo Manuel R.; Pinto, Joana Vaz ; Tavares, Rui Manuel.
Proceedings: 2026 10th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE). New York: Institute of Electrical and Electronics Engineers (IEEE), 2026. p. 85-90 (Proceedings - 2026 10th International Young Engineers Forum on Electrical and Computer Engineering, YEF-ECE 2026).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Pinto, Joana Vaz

AU - Tavares, Rui Manuel

PY - 2026

Y1 - 2026

N2 - This project aims to design and develop a new smart and independent window system that integrates three essential technologies: intelligent windows, Machine Learning (ML), and electrochromic (EC) smart glass. The latter, an increasingly emerging technology in the sustainable construction market, is expected to complement the first two, both in terms of energy efficiency and user comfort. In the proposed solution, the user can choose remotely between three different operation modes (passive, automatic and smart) in which has distinct actions for each main component (e.g. glass, window and system), in each specific situation. Finally, the prototype and its functionalities are analysed, demonstrated and tested.

AB - This project aims to design and develop a new smart and independent window system that integrates three essential technologies: intelligent windows, Machine Learning (ML), and electrochromic (EC) smart glass. The latter, an increasingly emerging technology in the sustainable construction market, is expected to complement the first two, both in terms of energy efficiency and user comfort. In the proposed solution, the user can choose remotely between three different operation modes (passive, automatic and smart) in which has distinct actions for each main component (e.g. glass, window and system), in each specific situation. Finally, the prototype and its functionalities are analysed, demonstrated and tested.

KW - Electrochromic Glass

KW - Intelligent Window

KW - Machine Learning

UR - https://www.scopus.com/pages/publications/105047048702

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DO - 10.1109/YEF-ECE70590.2026.11614640

M3 - Conference contribution

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SN - 9798319505286

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Jorge RMR, Pinto JV , Tavares RM. Smart Window 2030: Integration of Electrochromic Glass and Machine Learning Technologies. In Proceedings: 2026 10th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE). New York: Institute of Electrical and Electronics Engineers (IEEE). 2026. p. 85-90. (Proceedings - 2026 10th International Young Engineers Forum on Electrical and Computer Engineering, YEF-ECE 2026). doi: 10.1109/YEF-ECE70590.2026.11614640

Smart Window 2030: Integration of Electrochromic Glass and Machine Learning Technologies

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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