Key Publications
Teng, S.Y., van Nooten, C.C., van Doorn, J.M., Ottenbros, A., Huijbregts, M.A.J. and Jansen, J.J., 2023. Near real-time predictions of renewable electricity production at substation level via domain adaptation zero-shot learning in sequence. Renewable and Sustainable Energy Reviews, 186, p.113662. https://doi.org/10.1016/j.cherd.2022.09.043
Teng, S.Y., Orosz, Á., How, B.S., Pimentel, J., Friedler, F. and Jansen, J.J., 2022. Framework to embed machine learning algorithms in P-graph: Communication from the chemical process perspectives. Chemical Engineering Research and Design, 188, pp.265-270. https://doi.org/10.1016/j.cherd.2022.09.043
Computational Tools
Flexible P-graph Library
S.Y. Teng (2022). tsyet12/Pgraph: Process Graphs for Process Network Synthesis (PNS), Zenodo Release 2 (v1.0-zenodo-2). Zenodo. https://doi.org/10.5281/zenodo.6778354
ASCA Python Library
ANOVA-Simultaneous Component Analysis in Python
Sin Yong Teng. (2022). tsyet12/ASCA: ASCA ANOVA-Simultaneous Component Analysis (v1.0). Zenodo. https://doi.org/10.5281/zenodo.7404343
Domain Adaptation for Renewables
New domain adaptation strategy allows transfer of information from perfect-information substations to incomplete-information substations. The new approach allows for highly accurate near real-time renewable energy prediction from weather, geospatial and physical data, with low reliance on the base prediction model.
Sin Yong Teng. (2023). tsyet12/DAZLS: DAZLS release v0.1 (release). Zenodo. https://doi.org/10.5281/zenodo.8269094
Conference Participation
Outreach Activities
UK-NL Trademission. London, United Kingdoms. 17-20 October 2022
Laboratory Visit at Oxford University. Oxford United Kingdoms. 23 November 2022.
NWA-ORC Measuring and Detecting workshop. Utrecht, Netherlands.. 31 January 2023.
SPIL Laboratory at Brno University of Technology. Brno, Czechia. 13 Febuary 2023.
Laboratory Visit at University of Nottingham. Nottingham, United Kingdoms. 21 November 2022
Supervised Master’s internship student (Ralph van Eerdt). Title of Thesis: Improving short-term forecasting models for renewable energy sources with key performance indicators. 21 July 2023