3
H index
3
i10 index
70
Citations
Politechnika Wrocławska | 3 H index 3 i10 index 70 Citations RESEARCH PRODUCTION: 5 Articles 5 Papers RESEARCH ACTIVITY: 4 years (2019 - 2023). See details. MORE DETAILS IN: ABOUT THIS REPORT: Permalink: http://citec.repec.org/pni435 |
Works with: Authors registered in RePEc who have co-authored more than one work in the last five years with Weronika Nitka. | Is cited by: | Cites to: |
Journals with more than one article published | # docs |
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Energies | 2 |
Working Papers Series with more than one paper published | # docs |
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HSC Research Reports / Hugo Steinhaus Center, Wroclaw University of Technology | 2 |
Papers / arXiv.org | 2 |
Year | Title of citing document |
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2023 | Smoothing Quantile Regression Averaging: A new approach to probabilistic forecasting of electricity prices. (2023). Uniejewski, Bartosz. In: Papers. RePEc:arx:papers:2302.00411. Full description at Econpapers || Download paper |
2023 | Enhancing Energy System Models Using Better Load Forecasts. (2023). Musgens, Felix ; Grothe, Oliver ; Watermeyer, Mira ; Mobius, Thomas. In: Papers. RePEc:arx:papers:2302.11017. Full description at Econpapers || Download paper |
2023 | A hybrid model for day-ahead electricity price forecasting: Combining fundamental and stochastic modelling. (2023). Musgens, Felix ; Grothe, Oliver ; Mobius, Thomas ; Watermeyer, Mira. In: Papers. RePEc:arx:papers:2304.09336. Full description at Econpapers || Download paper |
2023 | Multivariable short-term electricity price forecasting using artificial intelligence and multi-input multi-output scheme. (2023). Huang, Xiaojia ; Wang, Jianzhou ; Nie, Ying ; Jiang, Ping. In: Energy Economics. RePEc:eee:eneeco:v:117:y:2023:i:c:s0140988322006004. Full description at Econpapers || Download paper |
2023 | From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting. (2023). Kruger, Fabian ; Kachele, Fabian ; Grothe, Oliver. In: Energy Economics. RePEc:eee:eneeco:v:120:y:2023:i:c:s0140988323001007. Full description at Econpapers || Download paper |
2023 | Distributional neural networks for electricity price forecasting. (2023). Weron, RafaÅ ; Ziel, Florian ; Narajewski, Micha ; Marcjasz, Grzegorz. In: Energy Economics. RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003419. Full description at Econpapers || Download paper |
2023 | Forecasting electricity prices with expert, linear, and nonlinear models. (2023). Ravazzolo, Francesco ; del Grosso, Filippo ; Gianfreda, Angelica ; Bille, Anna Gloria. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:570-586. Full description at Econpapers || Download paper |
2023 | Conversion of anaerobic digestates from biogas plants: Laboratory fertilizer formulation, scale-up and demonstration of applicative properties on plants. (2023). Gil, Filip ; Mikula, Katarzyna ; Trzaska, Krzysztof ; Skrzypczak, Dawid ; Chojnacka, Katarzyna ; Witek-Krowiak, Anna ; Moustakas, Konstantinos ; Polomska, Xymena ; Mironiuk, Magorzata ; Izydorczyk, Grzegorz. In: Renewable Energy. RePEc:eee:renene:v:203:y:2023:i:c:p:506-517. Full description at Econpapers || Download paper |
2023 | A Predictive Fuzzy Logic Model for Forecasting Electricity Day-Ahead Market Prices for Scheduling Industrial Applications. (2023). Birbas, Alexios ; Alefragis, Panayiotis ; Karampinis, Ioannis ; Plakas, Konstantinos ; Papalexopoulos, Alex. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:10:p:4085-:d:1146667. Full description at Econpapers || Download paper |
2023 | ARX-GARCH Probabilistic Price Forecasts for Diversification of Trade in Electricity MarketsâVariance Stabilizing Transformation and Financial Risk-Minimizing Portfolio Allocation. (2023). Janczura, Joanna ; Pu, Andrzej. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:2:p:807-:d:1031193. Full description at Econpapers || Download paper |
2023 | . Full description at Econpapers || Download paper |
2023 | Intraday power trading: toward an arms race in weather forecasting?. (2023). Wozabal, David ; Kuppelwieser, Thomas. In: OR Spectrum: Quantitative Approaches in Management. RePEc:spr:orspec:v:45:y:2023:i:1:d:10.1007_s00291-022-00698-5. Full description at Econpapers || Download paper |
Year | Title | Type | Cited |
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2021 | Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) method In: WORking papers in Management Science (WORMS). [Full Text][Citation analysis] | paper | 2 |
2022 | Calibration window selection based on change-point detection for forecasting electricity prices In: Papers. [Full Text][Citation analysis] | paper | 0 |
2023 | Combining predictive distributions of electricity prices: Does minimizing the CRPS lead to optimal decisions in day-ahead bidding? In: Papers. [Full Text][Citation analysis] | paper | 0 |
2023 | Combining predictive distributions of electricity prices. Does minimizing the CRPS lead to optimal decisions in day-ahead bidding?.(2023) In: Operations Research and Decisions. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 0 | article | |
2021 | Enhancing load, wind and solar generation for day-ahead forecasting of electricity prices In: Energy Economics. [Full Text][Citation analysis] | article | 19 |
2019 | Impact of solar activity on precipitation in the United States In: Physica A: Statistical Mechanics and its Applications. [Full Text][Citation analysis] | article | 3 |
2019 | Day-Ahead vs. IntradayâForecasting the Price Spread to Maximize Economic Benefits In: Energies. [Full Text][Citation analysis] | article | 35 |
2020 | Balancing Generation from Renewable Energy Sources: Profitability of an Energy Trader In: Energies. [Full Text][Citation analysis] | article | 11 |
2019 | Balancing RES generation: Profitability of an energy trader In: HSC Research Reports. [Full Text][Citation analysis] | paper | 0 |
2019 | Enhancing load, wind and solar generation forecasts in day-ahead forecasting of spot and intraday electricity prices In: HSC Research Reports. [Full Text][Citation analysis] | paper | 0 |
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