Blar i forfatter "Palu, Ivo"

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    • Comparison of deep learning models for multivariate prediction of time series wind power generation and temperature 

      Mishra, Sambeet; Bordin, Chiara; Taharaguchi, Kota; Palu, Ivo (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-03-02)
      Wind power experienced a substantial growth over the past decade especially because it has been seen as one of the best ways towards meeting climate change and emissions targets by many countries. Since wind power is not fully dispatchable, the accuracy of wind forecasts is a key element for the electric system operators, as it strongly affects the decision-making processes. The planning horizon can ...

    • Features extraction of wind ramp events from a virtual wind park 

      Mishra, Sambeet; Oren, Esin; Bordin, Chiara; Wen, Fushuan; Palu, Ivo (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-11-26)
      In the European renewable energy portfolio, wind has a sizeable share in the total energy production. The Nordic and Baltic energy systems in particular are benefiting from wind energy to reach the greenhouse gas emissions reduction objectives set by the EU. The wind energy production varies with time, and this intermittent characteristic imposes a challenge for full utilization of renewable energy ...

    • A multihorizon approach for the reliability oriented network restructuring problem, considering learning effects, construction time, and cables maintenance costs 

      Bordin, Chiara; Mishra, Sambeet; Palu, Ivo (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-12-29)
      This paper presents a techno-economic optimisation tool to study how the power system expansion decisions can be taken in a more economical and efficient way, by minimising the consequent costs of network reinforcement and reconfiguration. Analyses are performed to investigate how the network reinforcement and reconfiguration should be planned, within a time horizon of several years, by continuously ...

    • Virtual Power Plants and Integrated Energy System: Current Status and Future Prospects 

      Mishra, Sambeet; Bordin, Chiara; Leinakse, Madis; Wen, Fushuan; J. Howlett, Robert; Palu, Ivo (Chapter; Bokkapittel, 2022)
      The power system is undergoing a digitalization, decarbonization, and decentralization. Economic incentives along with resiliency and reliability concerns are partly driving the transition. In the process of decentralization, local energy markets are forming at various places. A virtual power plant (VPP) is a by-product of this digitalization capitalizing on the opportunity to further promote renewable ...