Personal information

Websites & social links

Personal GitHub (most repositories are private)
Library for energy demand forecasts
LinkedIn
Play Chess with me (1300-1700 elo)

Keywords

Machine Learning, SDG 7, Electricity Demand Forecast, Renewable Energy Systems, R, Python, Decision Support, Data Science

Countries

Germany, Colombia, Ghana, Tanzania

Biography

Engineer for renewable energies and researcher in data science and decision support , PhD-Student.

Activities

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Employment (3)

European University Viadrina: Frankfurt (Oder), Brandenburg, DE

2023-08-01 to 2024-08-01 | R Shiny Webserver Programming (Statistics and Decision Support)
Employment
Source: Self-asserted source
Johannes Schwenzer

University of Flensburg: Flensburg, DE

2023-03-01 to 2023-07-31 | Teaching Assignment (Renewable Energy Systems)
Employment
Source: Self-asserted source
Johannes Schwenzer

Humboldt-Universität zu Berlin: Berlin, DE

2022-09-01 to 2023-02-28 | Energy System Modeling (IRYTHEsys)
Employment
Source: Self-asserted source
Johannes Schwenzer

Education and qualifications (3)

European University Viadrina: Frankfurt (Oder), Brandenburg, DE

2022-10-15 to 2025-10-15 | PhD (Wirtschaftswissenschaften)
Education
Source: Self-asserted source
Johannes Schwenzer

HTW Berlin - University of Applied Sciences: Berlin, DE

2015-10-01 to 2020-06-20 | M.Sc. (Ingenieurwissenschaften)
Education
Source: Self-asserted source
Johannes Schwenzer

HTW Berlin - University of Applied Sciences: Berlin, DE

2011-10-01 to 2015-06-01 | B.Sc. (Ingenieurwissenschaften)
Education
Source: Self-asserted source
Johannes Schwenzer

Professional activities (3)

University of Oxford: Oxford, GB

2021-06-21 to 2021-06-25 | Linking Results of Power System Expansion Optimizations to Differences in Meteorological Inputs (Hackathon)
Service
Source: Self-asserted source
Johannes Schwenzer

WHU – Otto Beisheim School of Management: Vallendar, DE

2016-02-16 | 1st Price (3DS Startup Event)
Distinction
Source: Self-asserted source
Johannes Schwenzer

Helmholtz-Zentrum Berlin für Materialien und Energie: Berlin, DE

2015-08-13 | Best Student (ISU Energy 2015)
Distinction
Source: Self-asserted source
Johannes Schwenzer

Works (1)

Electricity Demand Forecasting with Hybrid Statistical and Machine Learning Algorithms: Case Study of Ukraine

2023-04-11 | Journal article
DOI: 10.48550/ARXIV.2304.05174
Contributors: Tatiana Gonzalez Grandon; Johannes Schwenzer; Thomas Steens; Julia Breuing
Source: Self-asserted source
Johannes Schwenzer

Peer review (1 review for 1 publication/grant)

Review activity for Energy economics. (1)
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