Personal information

Biography

Dr. Nurseda Y. Yürüşen: She received a BSc in Mechanical Engineering from the Ege University in Izmir, Turkey in 2012, an MSc. in Energy Technology with a focus on Wind Power from the Uppsala University, Sweden in 2014, an MSc. in Energy Engineering from the Izmir Institute of Technology, Turkey in 2015. She was a visiting researcher at Loughborough University in the Centre for Renewable Energy Systems Technology (CREST, UK) in 2017. She obtained her PhD in Renewable Energy and Energy Efficiency from the University of Zaragoza, Spain in 2019. Between 2015 and 2022, She was a researcher in CIRCE, where she was involved in the Advanced Wind Energy Systems Operation and Maintenance Expertise (AWESOME) project (2015-2019) within the European Union’s Marie Curie Innovative Training Network and she was in charge developing of algorithms for DOCTOR PV, H2020 FLEXICIENCY, and DEPNOTEC II (Viesgo project for grid non-technical losses detection) projects. In 2021, she was involved in FOTOBIGDATA (IDI-20200417) (Isemaren) project, where solar PV O&M planning optimisation and KPIs for solar PV monitoring tasks are performed. She was responsible for developing algorithms for real-time monitoring & forecasting applications for a commercial solar PV power plant (Maetel), and carrying out subtasks of ENERISLA, H2020 SYNERGY, and H2020 INTERPRETER projects. She is co-author of various articles published in scientific journals (Renewable Energy, Reliability Engineering and System Safety, Energy Procedia) and international conferences (IEEE CyberWorlds, Smart Grids, IEEE GreenTech, TORQUE, WindEurope, EUPVSEC, etc.). She was a lecturer at the University of Zaragoza, Renewable Energy Grid Integration Master Courses in 2021 & 2022. In addition, she is a recognized reviewer for Applied Energy Journal, European Journal of Operational Research, Energies, and Journal of Cleaner Production. Her research interests include renewable energy applications, optimisation, reliability of photovoltaic power plants, machine learning applications for the electrical grid data, statistics, and the decision support systems for the wind farm management activities.

Currently she is working in UL Solutions as Project Engineer in Asset & Sustainability Performance Energy Advisory, Iberia and Latin America Renewables group.

Activities

Employment (2)

UL Solutions: Barcelona, ES

2022-09-26 to present | Project Engineer (Asset & Sustainability Performance Energy Advisory, Iberia and Latin America Renewables)
Employment
Source: Self-asserted source
Nurseda Y. YURUSEN

Fundación CIRCE: Zaragoza, ES

2015-07-20 to 2022-09-19 | Researcher / Technology Project Manager
Employment
Source: Self-asserted source
Nurseda Y. YURUSEN

Education and qualifications (4)

Universidad de Zaragoza: Zaragoza, Aragón, ES

2015-08-01 to 2019-12-17 | PhD in Renewable Energies and Energy Efficiency
Education
Source: Self-asserted source
Nurseda Y. YURUSEN

Izmir Yüksek Teknoloji Enstitüsü: Izmir, TR

2012-09-01 to 2015-01-27 | MSc Energy Engineer (Energy Engineering)
Education
Source: Self-asserted source
Nurseda Y. YURUSEN

Uppsala University: Uppsala, SE

2013-08-01 to 2014-10-09 | MSc Energy Technology with Focus on Wind Power (Department of Earth Sciences)
Education
Source: Self-asserted source
Nurseda Y. YURUSEN

Ege University: Izmir, TR

2008-09-01 to 2012-06-20 | Mechanical Engineer (Mechanical Engineering)
Education
Source: Self-asserted source
Nurseda Y. YURUSEN

Funding (6)

SYNERGY

2020 to 2023 | Grant
European Commission (Brussels, BE)
Part of GRANT_NUMBER:

872734

Source: Self-asserted source
Nurseda Y. YURUSEN

ENERISLA

2020 to 2022 | Grant
Ministry of Science, Innovation and Universities of Spain (Madrid, ES)
Part of GRANT_NUMBER:

CER-20191002

Source: Self-asserted source
Nurseda Y. YURUSEN

INTERPRETER

2019 to 2022 | Grant
European Commission (Brussels, BE)
Part of GRANT_NUMBER:

864360

Source: Self-asserted source
Nurseda Y. YURUSEN

DOCTOR-PV - Desarrollo de herramientas Optimizadas de operaCión y manTenimientO pRedictivo de Plantas fotoVoltaicas

2018 to 2021 | Grant
FEDER y Ministerio de Ciencia, Innovación y Universidades – Agencia Estatal de Investigación (Madrid, ES)
Part of GRANT_NUMBER:

RTC-2017-6712-3

Source: Self-asserted source
Nurseda Y. YURUSEN

Advanced Wind Energy Systems Operation and Maintenance Expertise

2015-01-01 to 2018-12-31 | Grant
European Commission (Brussels, BE)
GRANT_NUMBER: 642108
Source: Self-asserted source
Nurseda Y. YURUSEN via DimensionsWizard

FLEXICIENCY

2015 to 2019 | Grant
European Commission (Brussels, BE)
Part of GRANT_NUMBER:

646482

Source: Self-asserted source
Nurseda Y. YURUSEN

Works (15)

A Robust Wind Turbine Component Health Status Indicator

Applied Sciences
2024-08-17 | Journal article
Contributors: Roberto Lázaro; Julio J. Melero; Nurseda Y. Yürüşen
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Wind Turbine Power Curve Modelling using Gaussian Mixture Copula, ANN Regressive and BANN

Journal of Physics: Conference Series
2022-06-10 | Journal article | Investigation, Supervision, Writing - review & editing
Part of ISSN: 1742-6588
Part of ISSN: 1742-6596
Contributors: Nurseda Y. YURUSEN
Source: Self-asserted source
Nurseda Y. YURUSEN

Machine learning based met data anomaly labelling

Journal of Physics: Conference Series
2022-05-16 | Journal article | Writing - original draft, Investigation, Data curation, Software, Writing - review & editing, Formal analysis
Part of ISSN: 1742-6588
Part of ISSN: 1742-6596
Contributors: Nurseda Y. YURUSEN
Source: Self-asserted source
Nurseda Y. YURUSEN

Apriori and K-Means algorithms of machine learning for spatio-temporal solar generation balancing

Renewable Energy
2021-09 | Journal article
Part of ISSN: 0960-1481
Source: Self-asserted source
Nurseda Y. YURUSEN

Anomaly Detection at Inverter Level via Machine Learning Algorithms under the Absence of O&M Logbooks

37th European Photovoltaic Solar Energy Conference and Exhibition
2020-10-28 | Conference paper
Source: Self-asserted source
Nurseda Y. YURUSEN

Determining Remaining Lifetime of Wind Turbine Gearbox Using a Health Status Indicator Signal

Journal of Physics: Conference Series
2020-09 | Journal article
Part of ISSN: 1742-6588
Part of ISSN: 1742-6596
Source: Self-asserted source
Nurseda Y. YURUSEN
grade
Preferred source (of 2)‎

Automated wind turbine maintenance scheduling

Reliability Engineering & System Safety
2020-08 | Journal article
Part of ISSN: 0951-8320
Source: Self-asserted source
Nurseda Y. YURUSEN

Sensitivity study of a wind farm maintenance decision - A performance and revenue analysis

Renewable Energy
2019-03 | Journal article
Contributors: Jannis Tautz-Weinert; Nurseda Y. Yürüşen; Julio J. Melero; Simon J. Watson
Source: check_circle
Crossref

Data-driven learning framework for associating weather conditions and wind turbine failures

Reliability Engineering and System Safety
2018 | Journal article
EID:

2-s2.0-85031740982

Contributors: Reder, M.; Yürüşen, N.Y.; Melero, J.J.
Source: Self-asserted source
Nurseda Y. YURUSEN via Scopus - Elsevier

Key Performance Indicators for Wind Farm Operation and Maintenance

Energy Procedia
2017 | Conference paper
EID:

2-s2.0-85040308767

Contributors: Gonzalez, E.; Nanos, E.M.; Seyr, H.; Valldecabres, L.; Yürüşen, N.Y.; Smolka, U.; Muskulus, M.; Melero, J.J.
Source: Self-asserted source
Nurseda Y. YURUSEN via Scopus - Elsevier

The Financial Benefits of Various Catastrophic Failure Prevention Strategies in a Wind Farm: Two market studies (UK-Spain)

Journal of Physics: Conference Series
2017 | Conference paper
EID:

2-s2.0-85037973755

Contributors: Yürüşen, N.Y.; Tautz-Weinert, J.; Watson, S.J.; Melero, J.J.
Source: Self-asserted source
Nurseda Y. YURUSEN via Scopus - Elsevier

Association Rules for Clustering Algorithms for Data Mining of Temporal Power Ramp Balance

Proceedings - 2015 International Conference on Cyberworlds, CW 2015
2016 | Conference paper
EID:

2-s2.0-84964284190

Contributors: Yildirim, N.; Uzunoĝlu, B.
Source: Self-asserted source
Nurseda Y. YURUSEN via Scopus - Elsevier

Data mining via association rules for power ramps detected by clustering or optimization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2016 | Book
EID:

2-s2.0-84979211462

Contributors: Yıldırım, N.; Uzunoğlu, B.
Source: Self-asserted source
Nurseda Y. YURUSEN via Scopus - Elsevier

Probability density function selection based on the characteristics of wind speed data

Journal of Physics: Conference Series
2016 | Conference paper
EID:

2-s2.0-84995486114

Contributors: Yürüşen, N.Y.; Melero, J.J.
Source: Self-asserted source
Nurseda Y. YURUSEN via Scopus - Elsevier

Spatial clustering for temporal power ramp balance and wind power estimation

IEEE Green Technologies Conference
2015 | Conference paper
EID:

2-s2.0-84938849779

Contributors: Yildirim, N.; Uzunoglu, B.
Source: Self-asserted source
Nurseda Y. YURUSEN via Scopus - Elsevier

Peer review (28 reviews for 6 publications/grants)

Review activity for Applied energy. (11)
Review activity for Applied sciences. (1)
Review activity for Energies. (11)
Review activity for European journal of operational research. (1)
Review activity for Journal of cleaner production. (3)
Review activity for Sustainability. (1)