Journal papers

Introducing reinforcement learning to the energy system design process

A. Perera; P. Wickramasinghe; V. M. Nik; J-L. Scartezzini 

Applied Energy. 2020. Vol. 262, p. 114580. DOI : 10.1016/j.apenergy.2020.114580.

Self-commissioning glare-based control system for integrated venetian blind and electric lighting

A. Motamed; B. Bueno; L. Deschamps; T. E. Kuhn; J-L. Scartezzini 

Building and Environment. 2020. Vol. 171, p. 106642. DOI : 10.1016/j.buildenv.2019.106642.

Quantifying the impacts of climate change and extreme climate events on energy systems

A. T. D. Perera; V. M. Nik; D. Chen; J-L. Scartezzini; T. Hong 

Nature Energy. 2020. Vol. 5, p. 150-159. DOI : 10.1038/s41560-020-0558-0.

Big data mining for the estimation of hourly rooftop photovoltaic potential and its uncertainty

A. Walch; R. Castello; N. Mohajeri; J-L. Scartezzini 

Applied Energy. 2020-01-28. Vol. 262, p. 114404. DOI : 10.1016/j.apenergy.2019.114404.

Evaluating the electricity saving potential of electrochromic glazing for cooling and lighting at the scale of the Swiss non-residential national building stock using a Monte Carlo model

J. Chambers; P. Hollmuller; O. Bouvard; A. Schueler; J-L. Scartezzini et al. 

Energy. 2019. Vol. 185, p. 136-147. DOI : 10.1016/

Solar cooking potential in Switzerland: Nodal modelling and optimization

T. Chatelain; D. Mauree; S. Taylor; O. Bouvard; J. Fleury et al. 

Solar Energy. 2019-12-01. Vol. 194, p. 788-803. DOI : 10.1016/j.solener.2019.10.071.

Redefining energy system flexibility for distributed energy system design

A. T. D. Perera; V. M. Nik; P. U. Wickramasinghe; J-L. Scartezzini 

Applied Energy. 2019-11-01. Vol. 253, p. 113572. DOI : 10.1016/j.apenergy.2019.113572.

Eight-month experimental study of energy impact of integrated control of sun shading and lighting system based on HDR vision sensor

A. Motamed; L. Deschamps; J-L. Scartezzini 

Energy and Buildings. 2019-11-15. Vol. 203, p. 109443. DOI : 10.1016/j.enbuild.2019.109443.

EPIQR-TOBUS: a new generation of refurbishment decision aid methods / EPIQR-TOBUS: eine neue Generation von Entscheidungshilfen für das Bauinstandsetzen

F. Flourentzos; J-L. Genre; C-A. Roulet; T. Stôckli 

Restoration of Buildings and Monuments. 2000. Vol. 6, num. 5, p. 543-554. DOI : 10.1515/rbm-2000-5502.

Performance assessment of the BTDF data compression based on wavelet transforms in daylighting simulation

Y. Wu; J. H. Kämpf; J-L. Scartezzini 

Solar Energy. 2019-09-15. Vol. 190, p. 329-336. DOI : 10.1016/j.solener.2019.07.096.

Earlier publications can be found in Infoscience.