Blar i NTNU Open på forfatter "Löschenbrand, Markus"

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    • Comparison of Cost Allocation Strategies among Prosumers and Consumers in a Cooperative Game 

      Tveita, Elise; Löschenbrand, Markus; Bjarghov, Sigurd; Farahmand, Hossein (Chapter, 2018)
      As the higher penetration of distributed generation (DG) and electrical energy storage (EES) is emerging, end-users are taking a more active role in the power grid. With an increased amount of DG and EES available, ...

    • A data set of a Norwegian energy community 

      Berg, Kjersti; Löschenbrand, Markus (Peer reviewed; Journal article, 2021)
      This paper presents a data set designed to represent Norwegian energy communities. As such it includes household consumption data collected from smart meter measurements and divided into consumer groups, appliance consumption ...

    • Developments and Challenges in Local Electricity Markets: A Comprehensive Review 

      Bjarghov, Sigurd; Löschenbrand, Markus; Ibn Saif, A.U.N.; Pedrero, Raquel Alonso; Pfeiffer, Christian; Khadem, Shafiuzzaman K.; Rabelhofer, Marion; Revheim, Frida Huglen; Farahmand, Hossein (Journal article; Peer reviewed, 2021)
      In recent years, power systems have undergone changes in technology and definition of the associated stakeholders. With the increase in distributed renewable generation and small- to medium-sized consumers starting to ...

    • Dynamic Electricity Market Games – Modeling Competition under Large-scale Storage 

      Löschenbrand, Markus (Doctoral theses at NTNU;2019:177, Doctoral thesis, 2019)
      Electricity shows similar characteristics to traditional commodity goods which led to the market mechanisms to trade electricity being developed in similar manner to markets for other commodities. Kirchho's laws, however, ...

    • Generating scenarios from probabilistic short-term load forecasts via non-linear Bayesian regression 

      Löschenbrand, Markus; Gros, Sebastien; Lakshmanan, Venkatachalam (Chapter, 2021)
      In this paper we present a simple and intuitive method for fitting a non-linear Bayesian regression model on short-term load forecasts. Such models have been implemented via Bayesian neural networks, which are known for ...

    • Hydro Power Reservoir Aggregation via Genetic Algorithms 

      Löschenbrand, Markus; Korpås, Magnus (Journal article; Peer reviewed, 2017)
      Electrical power systems with a high share of hydro power in their generation portfolio tend to display distinct behavior. Low generation cost and the possibility of peak shaving create a high amount of flexibility. However, ...

    • Hydro-thermal power market equilibrium with price-making hydropower producers 

      Löschenbrand, Markus; Wei, Wei; Liu, Feng (Journal article; Peer reviewed, 2018)
      This paper formulates an electricity market dominated by price-making hydro-thermal generation. Generation companies optimize their unit commitment, scheduling and bidding decisions simultaneously as a Mixed Integer ...

    • Impact of inertial response requirements on a multi area renewable network 

      Löschenbrand, Markus; Farahmand, Hossein; Korpås, Magnus (Chapter, 2017)
      Developments in renewable integration are continuously changing power system portfolios globally. Higher volatility of the networks might pose a threat to grid stability and thus increase the need for ancillary services. ...

    • Market Power in Hydro-Thermal Systems with Marginal Cost Bidding 

      Löschenbrand, Markus; Korpås, Magnus; Fodstad, Marte (Chapter, 2018)
      Traditionally, electricity markets have been designed with the intention of disabling producer side market power or prohibiting exercising it. Nonetheless it can be assumed that players participating in pool markets and ...

    • Modelling and Simulation Approaches for Local Energy Community Integrated Distribution Networks 

      Rana, Rubi; Berg, Kjersti; Degefa, Merkebu Zenebe; Löschenbrand, Markus (Journal article; Peer reviewed, 2022)
      Due to the absence of studies of local energy communities (LECs) where the grid is represented, it is very difficult to infer implications of increased LEC integration for the distribution grid as well as for the wider ...

    • Multiple Nash Equilibria in Electricity Markets with price-making Hydrothermal Producers 

      Löschenbrand, Markus; Korpås, Magnus (Journal article; Peer reviewed, 2018)
      This paper proposes a novel approach incorporating scheduling decisions into a multinodal multiperiod Cournot game. Through applying the Nikaido-Isoda function, market clearing is conducted without dual values being required. ...

    • A systematic review of machine learning techniques related to local energy communities 

      Hernandez-Matheus, Alejandro; Löschenbrand, Markus; Berg, Kjersti; Fuchs, Ida; Aragüés-Peñalba, Mònica; Bullich-Massagué, Eduard; Sumper, Andreas (Peer reviewed; Journal article, 2022)
      In recent years, digitalisation has rendered machine learning a key tool for improving processes in several sectors, as in the case of electrical power systems. Machine learning algorithms are data-driven models based on ...

    • Trends in local electricity market design: Regulatory barriers and the role of grid tariffs 

      Maldet, Matthias; Revheim, Frida Huglen; Schwabeneder, Daniel; Lettner, Georg; Crespo Del Granado, Pedro; Saif, Aziz; Löschenbrand, Markus; Khadem, Shafi (Peer reviewed; Journal article, 2022)
      New concepts of local electricity markets (LEMs) have led increased focus on the decentralization of energy systems and a raise in local energy communities (LECs). Under the right market-regulatory incentives, peer-to peer ...