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Lissy Langer
- © TU Berlin/PR/Oana Popa-Costea
Technische Universitaet Berlin
Chair of Production and Operations Management
Office ID: H 85 (Please always quote the office ID H 85)
Straße des 17. Juni 135
10623 Berlin (Germany)
Room H 6152
Tel. + 49 (0) 30 / 314-26887
E-Mail: Contact
Consultation time: Tuesday 4.15-5.15 pm (check via mail) see German page for updates
Lissy Langer studied Industrial Engineering (Mechanical Engineering) at the Technical University of Berlin and focused on production planning and control as well as operations research. As part of her studies, she spent time at Yonsei University (South Korea) and Linköping University (Sweden). She wrote her master thesis at Johns Hopkins University (USA) in cooperation with DIW Berlin, studying a policy application in the field of energy market modelling.
Ms. Langer has several years of experience in operational assembly supervision, technical planning and assembly control for Daimler AG's large engine production. She also worked for many years as a research assistant at both the Humboldt University in Berlin and the TU Berlin.
Teaching
Winter term:
- GiP - Design and Configuration of Industrial Production Systems (Exercise sessions, German)
- POMcases: AutoPOM coding lab (English)
Summer term:
- AutoPOM - Production and Operations Management in the Automotive Industry (Exercise Session, English)
- POMcases: AutoPOM coding lab (English)
Research
| application area: | Smart residential grids (+PV, +electrical/thermal storage + peer-to-peer trading) |
|---|---|
| specifics: | planning and control under uncertainty, learning algorithms |
| methods: | approximate dynamic programming, reinforcement learning |
Publications
Lissy Langer. "An Optimal Peer-to-Peer Market Considering Modulating Heat Pumps and Photovoltaic Systems under the German Levy Regime." Energies 13 (2020): 5348. doi:10.3390/en13205348
code + data: https://github.com/lilanger/PEERS
Langer, Lissy, and Thomas Volling. "An optimal home energy management system for modulating heat pumps and photovoltaic systems." Applied Energy 278 (2020): 115661. doi:10.1016/j.apenergy.2020.115661
preprint: https://arxiv.org/pdf/2009.02349.pdf
code + data: https://github.com/lilanger/SHEMS
Langer, Lissy, Huppmann, Daniel, and Franziska Holz. "Lifting the US crude oil export ban: A numerical partial equilibrium analysis." Energy Policy 97 (2016), 258-266. doi: 10.1016/j.enpol.2016.07.040
Presentations
OR 2019: „Smart energy management systems to facilitate peer-to-peer energy trading" in the session about "Demand side modeling".
OR 2017, YEEES 2017, ENERDAY 2018: Cognitive Algorithms for Electricity Spot Price Prediction - An Open-Source, Open-Access Approach
GEE-enerCONNECT Preis (Best Presentation Award)
YEEES 2015, BELEC 2016: Lifting the US crude oil export ban: A numerical partial equilibrium analysis