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Details about Weronika Nitka

Workplace:Katedra Badań Operacyjnych i Inteligencji Biznesowej (Department of Operations Research and Business Intelligence), Politechnika Wrocławska (Wroclaw University of Science and Technology), (more information at EDIRC)

Access statistics for papers by Weronika Nitka.

Last updated 2023-11-28. Update your information in the RePEc Author Service.

Short-id: pni435


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Working Papers

2023

  1. Combining predictive distributions of electricity prices: Does minimizing the CRPS lead to optimal decisions in day-ahead bidding?
    Papers, arXiv.org Downloads View citations (6)
    See also Journal Article Combining predictive distributions of electricity prices. Does minimizing the CRPS lead to optimal decisions in day-ahead bidding?, Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management (2023) Downloads View citations (6) (2023)

2022

  1. Calibration window selection based on change-point detection for forecasting electricity prices
    Papers, arXiv.org Downloads View citations (1)

2021

  1. Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) method
    WORking papers in Management Science (WORMS), Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology Downloads View citations (4)

2019

  1. Balancing RES generation: Profitability of an energy trader
    HSC Research Reports, Hugo Steinhaus Center, Wroclaw University of Science and Technology Downloads
  2. Enhancing load, wind and solar generation forecasts in day-ahead forecasting of spot and intraday electricity prices
    HSC Research Reports, Hugo Steinhaus Center, Wroclaw University of Science and Technology Downloads View citations (2)

Journal Articles

2023

  1. Combining predictive distributions of electricity prices. Does minimizing the CRPS lead to optimal decisions in day-ahead bidding?
    Operations Research and Decisions, 2023, 33, (3), 105-118 Downloads View citations (6)
    See also Working Paper Combining predictive distributions of electricity prices: Does minimizing the CRPS lead to optimal decisions in day-ahead bidding?, Papers (2023) Downloads View citations (6) (2023)

2021

  1. Enhancing load, wind and solar generation for day-ahead forecasting of electricity prices
    Energy Economics, 2021, 99, (C) Downloads View citations (30)

2020

  1. Balancing Generation from Renewable Energy Sources: Profitability of an Energy Trader
    Energies, 2020, 13, (1), 1-15 Downloads View citations (12)

2019

  1. Day-Ahead vs. Intraday—Forecasting the Price Spread to Maximize Economic Benefits
    Energies, 2019, 12, (4), 1-15 Downloads View citations (43)
  2. Impact of solar activity on precipitation in the United States
    Physica A: Statistical Mechanics and its Applications, 2019, 527, (C) Downloads View citations (3)
 
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