Janne Huotari

Doctoral Candidate

Research outputs

  1. 2019
  2. Published

    Q-Learning Based Autonomous Control of the Auxiliary Power Network of a Ship

    Huotari, J., Ritari, A., Ojala, R., Vepsäläinen, J. & Tammi, K., 30 Oct 2019, In : IEEE Access. 7, p. 152879-152890 11 p., 2169-3536.

    Research output: Contribution to journalArticle

  3. E-pub ahead of print

    Hybrid electric topology for short sea ships with high auxiliary power availability requirement

    Ritari, A., Huotari, J., Halme, J. & Tammi, K., 16 Oct 2019, In : Energy. 116359.

    Research output: Contribution to journalArticle

  4. Published

    Feasibility analysis of a battery system for a passenger ferry

    Ritari, A., Huotari, J., Halme, J. & Tammi, K., 10 May 2019, PROCEEDINGS OF MOSES2019 CONFERENCE 2ND INTERNATIONAL CONFERENCE ON MODELLING AND OPTIMISATION OF SHIP ENERGY SYSTEMS, 8-10 MAY 2019, GLASGOW, SCOTLAND, UNITED KINGDOM . Theotokatos, G. & Coraddu, A. (eds.). University of Strathclyde

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  5. Published

    Feasibility analysis of a battery system for a passenger ferry

    Ritari, A., Huotari, J., Halme, J. & Tammi, K., 2019, Integrated Energy Solutions to Smart And Green Shipping. Guangrong, Z. (ed.). VTT Technical Research Centre of Finland, p. 77-83 7 p. (VTT Technology; no. 354).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

ID: 27667082