Katarzyna Maciejowska : Citation Profile


Are you Katarzyna Maciejowska?

Politechnika Wrocławska

7

H index

7

i10 index

364

Citations

RESEARCH PRODUCTION:

7

Articles

19

Papers

RESEARCH ACTIVITY:

   11 years (2009 - 2020). See details.
   Cites by year: 33
   Journals where Katarzyna Maciejowska has often published
   Relations with other researchers
   Recent citing documents: 68.    Total self citations: 13 (3.45 %)

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   Permalink: http://citec.repec.org/pma1510
   Updated: 2021-11-28    RAS profile: 2020-02-26    
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Relations with other researchers


Works with:

Nitka, Weronika (2)

Nowotarski, Jakub (2)

Weron, Rafał (2)

Weron, Tomasz (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Katarzyna Maciejowska.

Is cited by:

Weron, Rafał (91)

Uniejewski, Bartosz (33)

Lütkepohl, Helmut (27)

Nowotarski, Jakub (26)

Marcjasz, Grzegorz (26)

Netšunajev, Aleksei (19)

Serafin, Tomasz (17)

Roventini, Andrea (8)

Mandel, Antoine (8)

Napoletano, Mauro (7)

Kowalska-Pyzalska, Anna (7)

Cites to:

Weron, Rafał (100)

Sznajd-Weron, Katarzyna (21)

Nowotarski, Jakub (20)

Misiorek, Adam (20)

Marcjasz, Grzegorz (15)

Uniejewski, Bartosz (14)

Trueck, Stefan (12)

Hong, Tao (9)

Serafin, Tomasz (8)

Watson, Mark (7)

Paraschiv, Florentina (7)

Main data


Where Katarzyna Maciejowska has published?


Journals with more than one article published# docs
International Journal of Forecasting2

Working Papers Series with more than one paper published# docs
HSC Research Reports / Hugo Steinhaus Center, Wroclaw University of Technology14
Economics Working Papers / European University Institute3

Recent works citing Katarzyna Maciejowska (2021 and 2020)


YearTitle of citing document
2021Is U.S. real output growth really non-normal? Testing distributional assumptions in time-varying location-scale models. (2021). Kruse-Becher, Robinson ; Demetrescu, Matei. In: CREATES Research Papers. RePEc:aah:create:2021-07.

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2020Beating the naive: Combining LASSO with naive intraday electricity price forecasts. (2020). Weron, Rafał ; Uniejewski, Bartosz ; Marcjasz, Grzegorz. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2001.

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2020Trading on short-term path forecasts of intraday electricity prices. (2020). Weron, Rafał ; Chawla, Yash ; Marcjasz, Grzegorz ; Serafin, Tomasz. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2017.

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2021Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) method. (2021). Sotiros, Dimitrios ; Serafin, Tomasz ; Nitka, Weronika. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2106.

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2020Forecasting the Intra-Day Spread Densities of Electricity Prices. (2020). Bunn, Derek ; Abramova, Ekaterina. In: Papers. RePEc:arx:papers:2002.10566.

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2020Ensemble Forecasting for Intraday Electricity Prices: Simulating Trajectories. (2020). Ziel, Florian ; Narajewski, Michal. In: Papers. RePEc:arx:papers:2005.01365.

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2020Structural Gaussian mixture vector autoregressive model. (2020). Virolainen, Savi. In: Papers. RePEc:arx:papers:2007.04713.

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2020Optimal Order Execution in Intraday Markets: Minimizing Costs in Trade Trajectories. (2020). Ziel, Florian ; Kath, Christopher. In: Papers. RePEc:arx:papers:2009.07892.

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2021CRPS Learning. (2021). Berrisch, Jonathan ; Ziel, Florian. In: Papers. RePEc:arx:papers:2102.00968.

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2021Optimal bidding on hourly and quarter-hourly day-ahead electricity price auctions: trading large volumes of power with market impact and transaction costs. (2021). Narajewski, Michal ; Ziel, Florian. In: Papers. RePEc:arx:papers:2104.14204.

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2021A Lucas Critique Compliant SVAR model with Observation-driven Time-varying Parameters. (2021). Corsi, Fulvio ; Bormetti, Giacomo. In: Papers. RePEc:arx:papers:2107.05263.

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2021Gaussian and Students $t$ mixture vector autoregressive model. (2021). Virolainen, Savi. In: Papers. RePEc:arx:papers:2109.13648.

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2020Discrete Mixtures of Normals Pseudo Maximum Likelihood Estimators of Structural Vector Autoregressions. (2020). Sentana, Enrique ; Fiorentini, Gabriele. In: Working Papers. RePEc:cmf:wpaper:wp2020_2023.

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2021Moment tests of independent components. (2021). Sentana, Enrique ; Fiorentini, Gabriele ; Amengual, Dante. In: Working Papers. RePEc:cmf:wpaper:wp2021_2102.

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2020Structural Vector Autoregressive Models with more Shocks than Variables Identified via Heteroskedasticity. (2020). Lütkepohl, Helmut ; Lutkepohl, Helmut. In: Discussion Papers of DIW Berlin. RePEc:diw:diwwpp:dp1871.

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2020Heteroskedastic Proxy Vector Autoregressions. (2020). Schlaak, Thore ; Lutkepohl, Helmut. In: Discussion Papers of DIW Berlin. RePEc:diw:diwwpp:dp1876.

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2021Multi-Day-Ahead Electricity Price Forecasting: A Comparison of fundamental, econometric and hybrid Models. (2021). Vogler, Arne ; Beran, Philip. In: EWL Working Papers. RePEc:dui:wpaper:2102.

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2020Passive Balancing Through Intraday Trading: Whether Interactions Between Short-term Trading and Balancing Stabilize Germany’s Electricity System. (2020). Koch, Christopher ; Maskos, Philipp. In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2020-02-14.

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2020A rolling horizon scheduling of aggregated electric vehicles charging under the electricity exchange market. (2020). Zamora, Ramon ; Lie, T T ; Su, Jun. In: Applied Energy. RePEc:eee:appene:v:275:y:2020:i:c:s0306261920309181.

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2020Ensemble forecasting for intraday electricity prices: Simulating trajectories. (2020). Ziel, Florian ; Narajewski, Micha. In: Applied Energy. RePEc:eee:appene:v:279:y:2020:i:c:s0306261920312824.

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2021Two-stage stochastic optimization frameworks to aid in decision-making under uncertainty for variable resource generators participating in a sequential energy market. (2021). Noor, MD ; Fang, Xin ; Faiz, Tasnim Ibn ; Crespo-Vazquez, Jose L. In: Applied Energy. RePEc:eee:appene:v:292:y:2021:i:c:s0306261921003706.

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2021Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark. (2021). Weron, Rafał ; de Schutter, Bart ; Marcjasz, Grzegorz ; Lago, Jesus. In: Applied Energy. RePEc:eee:appene:v:293:y:2021:i:c:s0306261921004529.

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2020Bayesian inference for structural vector autoregressions identified by Markov-switching heteroskedasticity. (2020). Woźniak, Tomasz ; Lütkepohl, Helmut ; Woniak, Tomasz ; Lutkepohl, Helmut. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:113:y:2020:i:c:s0165188920300324.

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2021Sharing is caring: Spillovers and synchronization of business cycles in the European Union. (2021). Škrinjarić, Tihana ; Arčabić, Vladimir ; Arabi, Vladimir. In: Economic Modelling. RePEc:eee:ecmode:v:96:y:2021:i:c:p:25-39.

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2020Structural vector autoregressive models with more shocks than variables identified via heteroskedasticity. (2020). Lütkepohl, Helmut ; Lutkepohl, Helmut. In: Economics Letters. RePEc:eee:ecolet:v:195:y:2020:i:c:s0165176520302834.

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2021Distributional regression for demand forecasting in e-grocery. (2021). Jahnke, Hermann ; Ulrich, Matthias ; Senge, Robin ; Pesch, Robert ; Langrock, Roland. In: European Journal of Operational Research. RePEc:eee:ejores:v:294:y:2021:i:3:p:831-842.

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2020Assessing the impact of renewable energy sources on the electricity price level and variability – A quantile regression approach. (2020). Maciejowska, Katarzyna. In: Energy Economics. RePEc:eee:eneeco:v:85:y:2020:i:c:s0140988319303275.

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2020Cross-border effects in interconnected electricity markets - an analysis of the Swiss electricity prices. (2020). Hack, Felix ; Panos, Evangelos ; Densing, Martin ; Dehler-Holland, Joris ; Keles, Dogan. In: Energy Economics. RePEc:eee:eneeco:v:90:y:2020:i:c:s0140988320301420.

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2021Regularized quantile regression averaging for probabilistic electricity price forecasting. (2021). Weron, Rafał ; Uniejewski, Bartosz. In: Energy Economics. RePEc:eee:eneeco:v:95:y:2021:i:c:s0140988321000268.

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2021Enhancing load, wind and solar generation for day-ahead forecasting of electricity prices. (2021). Weron, Tomasz ; Nitka, Weronika ; Maciejowska, Katarzyna. In: Energy Economics. RePEc:eee:eneeco:v:99:y:2021:i:c:s014098832100178x.

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2020When and why does transition fail? A model-based identification of adoption barriers and policy vulnerabilities for transition to natural gas vehicles. (2020). Jafino, Bramka Arga ; Hidayatno, Akhmad ; Purwanto, Widodo Wahyu ; Setiawan, Andri D. In: Energy Policy. RePEc:eee:enepol:v:138:y:2020:i:c:s0301421520300021.

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2020Using insurance to manage reliability in the distributed electricity sector: Insights from an agent-based model. (2020). Sengupta, Abhijit ; Fuentes, Rolando. In: Energy Policy. RePEc:eee:enepol:v:139:y:2020:i:c:s0301421520300136.

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2020The way towards European electricity intraday auctions – Status quo and future developments. (2020). Jaenisch, Vincent ; Ocker, Fabian. In: Energy Policy. RePEc:eee:enepol:v:145:y:2020:i:c:s0301421520304572.

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2020Analyzing dynamic impacts of different oil shocks on oil price. (2020). Lin, Boqiang ; Gong, XU ; Chen, Liqiang. In: Energy. RePEc:eee:energy:v:198:y:2020:i:c:s0360544220304138.

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2020Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts?. (2020). Weron, Rafał ; Uniejewski, Bartosz ; Marcjasz, Grzegorz. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:2:p:466-479.

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2020Comparing the forecasting performances of linear models for electricity prices with high RES penetration. (2020). Gianfreda, Angelica ; Rossini, Luca ; Ravazzolo, Francesco. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:3:p:974-986.

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2020Probabilistic forecasting in day-ahead electricity markets: Simulating peak and off-peak prices. (2020). Ziel, Florian ; Muniain, Peru. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:4:p:1193-1210.

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2021Probabilistic recalibration of forecasts. (2021). MacHete, Reason L ; Adams, Jennifer M ; Rosner, Robert ; Graziani, Carlo. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:1:p:1-27.

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2021Conformal prediction interval estimation and applications to day-ahead and intraday power markets. (2021). Ziel, Florian ; Kath, Christopher. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:2:p:777-799.

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2020Analysis and short-term predictions of non-technical loss of electric power based on mixed effects models. (2020). Moreira, Jose Francisco ; Calili, Rodrigo Flora ; Souza, Reinaldo Castro ; Mahaz, Paulo Fernando. In: Socio-Economic Planning Sciences. RePEc:eee:soceps:v:71:y:2020:i:c:s0038012119301910.

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2020A diffusion model for estimating adoption patterns of a one-way carsharing system in its initial years. (2020). Uno, Nobuhiro ; Nakamura, Toshiyuki ; Kuwahara, Masahiro ; Schmocker, Jan-Dirk ; Zhang, Cen. In: Transportation Research Part A: Policy and Practice. RePEc:eee:transa:v:136:y:2020:i:c:p:135-150.

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2020HousEEC: Day-Ahead Household Electrical Energy Consumption Forecasting Using Deep Learning. (2020). Gjoreski, Hristijan ; Gams, Matja ; Jovanovski, Slobodan ; Ilievski, Igor ; Stankoski, Simon ; Kiprijanovska, Ivana. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:10:p:2672-:d:362866.

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2020PCA Forecast Averaging—Predicting Day-Ahead and Intraday Electricity Prices. (2020). Serafin, Tomasz ; Uniejewski, Bartosz ; Maciejowska, Katarzyna. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:14:p:3530-:d:382069.

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2020Balancing Generation from Renewable Energy Sources: Profitability of an Energy Trader. (2020). Weron, Tomasz ; Serafin, Tomasz ; Nitka, Weronika ; Zaleski, Przemysaw ; Kath, Christopher. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:1:p:205-:d:304260.

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2020Nearest Neighbors Time Series Forecaster Based on Phase Space Reconstruction for Short-Term Load Forecasting. (2020). Fuerte-Esquivel, Claudio R ; Flores, Juan J ; Cedeo, Jose R ; Moreno-Alcaide, Boris A. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:20:p:5309-:d:426889.

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2020Price Forecasting for the Balancing Energy Market Using Machine-Learning Regression. (2020). Kotsakis, Evangelos ; Pegios, Konstantinos ; Lucas, Alexandre ; Clarke, Dan. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:20:p:5420-:d:430252.

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2020Forecasting the Intra-Day Spread Densities of Electricity Prices. (2020). Bunn, Derek ; Abramova, Ekaterina. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:3:p:687-:d:316818.

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2020Optimization of Electric Energy Sales Strategy Based on Probabilistic Forecasts. (2020). Michalak, Aleksandra ; Janczura, Joanna . In: Energies. RePEc:gam:jeners:v:13:y:2020:i:5:p:1045-:d:325457.

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2020Beating the Naïve—Combining LASSO with Naïve Intraday Electricity Price Forecasts. (2020). Weron, Rafał ; Uniejewski, Bartosz ; Marcjasz, Grzegorz. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:7:p:1667-:d:340785.

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2021The Impact of COVID-19 on Electricity Demand Profiles: A Case Study of Selected Business Clients in Poland. (2021). Kinelski, Grzegorz ; Malec, Marcin ; Czarnecka, Marzena. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:17:p:5332-:d:623370.

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2021The Impact of Forecasting Jumps on Forecasting Electricity Prices. (2021). Kostrzewska, Jadwiga ; Kostrzewski, Maciej. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:2:p:336-:d:477466.

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2021Energy Markets Forecasting. From Inferential Statistics to Machine Learning: The German Case. (2021). Ehrhardt, Matthias ; di Persio, Luca ; Viviani, Emma. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:2:p:364-:d:478401.

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2021Probabilistic Day-Ahead Wholesale Price Forecast: A Case Study in Great Britain. (2021). Caudron, Julien ; Haben, Stephen ; Verma, Jake. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:3:p:38-632:d:623967.

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2021Project Portfolio Construction Using Extreme Value Theory. (2021). Tabasi, Hamed ; Yousefi, Vahidreza ; Tamoaitien, Jolanta. In: Sustainability. RePEc:gam:jsusta:v:13:y:2021:i:2:p:855-:d:481501.

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2021Short-term electricity price forecastingmodels comparative analysis : Machine Learning vs. Econometrics. (2021). Lantz, Frederic ; Farnoosh, Arash ; Cohet, Tancrede ; Cazelles, Jerome ; de Certaines, Guillaume ; Ferre, Antoine. In: Working Papers. RePEc:hal:wpaper:hal-03262208.

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2020European unemployment nonlinear dynamics over the business cycles: Markov switching approach. (2020). Lukianenko, Iryna ; Oliskevych, Marianna. In: Global Business and Economics Review. RePEc:ids:gbusec:v:22:y:2020:i:4:p:375-401.

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2021Application of Bagging in Day-Ahead Electricity Price Forecasting and Factor Augmentation. (2021). Yildirim, Dilem ; Ozen, Kadir. In: ERC Working Papers. RePEc:met:wpaper:2101.

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2020Noise induced unanimity and disorder in opinion formation. (2020). Malarz, Krzysztof ; Kowalska-Stycze, Agnieszka. In: PLOS ONE. RePEc:plo:pone00:0235313.

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2020Sources of Real Exchange Rate Variability in Central and Eastern European Countries: Evidence from Structural Bayesian MSH-VAR Models. (2020). Dąbrowski, Marek ; Wroblewska, Justyna ; Kwiatkowski, Ukasz ; Dbrowski, Marek A. In: Central European Journal of Economic Modelling and Econometrics. RePEc:psc:journl:v:12:y:2020:i:4:p:369-412.

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2021Forecasting Electricity Prices with Expert, Linear and Non-Linear Models. (2021). Ravazzolo, Francesco ; del Grosso, Filippo ; Gianfreda, Angelica ; Bille, Anna Gloria. In: Working Paper series. RePEc:rim:rimwps:21-20.

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2021Concentration Versus Diversification: A Spatial Deployment Approach to Improve the Economics of Wind Power. (2021). Madlener, Reinhard ; Klie, Leo. In: FCN Working Papers. RePEc:ris:fcnwpa:2020_002.

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2021OLS Estimation of Markov switching VAR models: asymptotics and application to energy use. (2021). Cavicchioli, Maddalena. In: AStA Advances in Statistical Analysis. RePEc:spr:alstar:v:105:y:2021:i:3:d:10.1007_s10182-020-00383-4.

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2020Loss-based approach to two-piece location-scale distributions with applications to dependent data. (2020). Villa, Cristiano ; Rossini, Luca ; Leisen, Fabrizio. In: Statistical Methods & Applications. RePEc:spr:stmapp:v:29:y:2020:i:2:d:10.1007_s10260-019-00481-x.

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2020Identification of Structural VAR Models via Independent Component Analysis: A Performance Evaluation Study. (2020). Pallante, Gianluca ; Moneta, Alessio. In: LEM Papers Series. RePEc:ssa:lemwps:2020/24.

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2020Non-Normal Identification for Price Discovery in High-Frequency Financial Markets. (2020). Zema, Sebastiano Michele. In: LEM Papers Series. RePEc:ssa:lemwps:2020/28.

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2020Proxy SVAR identification of monetary policy shocks: MonteCarlo evidence and insights for the US. (2020). Rohloff, Hannes ; Herwartz, Helmut ; Wang, Shu. In: Center for European, Governance and Economic Development Research Discussion Papers. RePEc:zbw:cegedp:404.

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2021Short-term risk management for electricity retailers under rising shares of decentralized solar generation. (2021). Keles, Dogan ; Bertsch, Valentin ; Kraft, Emil ; Russo, Marianna. In: Working Paper Series in Production and Energy. RePEc:zbw:kitiip:57.

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2021.

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Works by Katarzyna Maciejowska:


YearTitleTypeCited
2020PCA forecast averaging - predicting day-ahead and intraday electricity prices In: WORking papers in Management Science (WORMS).
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paper6
2010Structural vector autoregressions with Markov switching In: Journal of Economic Dynamics and Control.
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article128
2009Structural Vector Autoregressions with Markov Switching.(2009) In: Economics Working Papers.
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This paper has another version. Agregated cites: 128
paper
2014Turning green: Agent-based modeling of the adoption of dynamic electricity tariffs In: Energy Policy.
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article39
2013Turning green: Agent-based modeling of the adoption of dynamic electricity tariffs.(2013) In: HSC Research Reports.
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This paper has another version. Agregated cites: 39
paper
2016A hybrid model for GEFCom2014 probabilistic electricity price forecasting In: International Journal of Forecasting.
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article44
2015A hybrid model for GEFCom2014 probabilistic electricity price forecasting.(2015) In: HSC Research Reports.
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This paper has another version. Agregated cites: 44
paper
2016Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging In: International Journal of Forecasting.
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article64
2014Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging.(2014) In: HSC Research Reports.
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This paper has another version. Agregated cites: 64
paper
2010Estimation methods comparison of SVAR model with the mixture of two normal distributions - Monte Carlo analysis In: Economics Working Papers.
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paper2
2010Common factors in nonstationary panel data with a deterministic trend - estimation and distribution theory In: Economics Working Papers.
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paper2
2019Day-Ahead vs. Intraday—Forecasting the Price Spread to Maximize Economic Benefits In: Energies.
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article27
2013Assessing the number of components in a normal mixture: an alternative approach In: MPRA Paper.
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paper0
2010Estimation Methods Comparison of SVAR Models with a Mixture of Two Normal Distributions In: Central European Journal of Economic Modelling and Econometrics.
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article1
2015Forecasting of daily electricity prices with factor models: utilizing intra-day and inter-zone relationships In: Computational Statistics.
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article21
2013Forecasting of daily electricity prices with factor models: Utilizing intra-day and inter-zone relationships.(2013) In: HSC Research Reports.
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This paper has another version. Agregated cites: 21
paper
2013Forecasting of daily electricity spot prices by incorporating intra-day relationships: Evidence form the UK power market In: HSC Research Reports.
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paper6
2013Going green: Agent-based modeling of the diffusion of dynamic electricity tariffs In: HSC Research Reports.
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paper2
2014Diffusion and adoption of dynamic electricity tariffs: An agent-based modeling approach In: HSC Research Reports.
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paper0
2014Fundamental and speculative shocks, what drives electricity prices? In: HSC Research Reports.
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paper10
2014Modeling consumer opinions towards dynamic pricing: An agent-based approach In: HSC Research Reports.
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paper1
2014Probabilistic load forecasting via Quantile Regression Averaging of independent expert forecasts In: HSC Research Reports.
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paper2
2015Short- and mid-term forecasting of baseload electricity prices in the UK: The impact of intra-day price relationships and market fundamentals In: HSC Research Reports.
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paper6
2015Two faces of word-of-mouth: Understanding the impact of social interactions on demand curves for innovative products In: HSC Research Reports.
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paper0
2016Impact of social interactions on demand curves for innovative products In: HSC Research Reports.
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paper1
2019Enhancing load, wind and solar generation forecasts in day-ahead forecasting of spot and intraday electricity prices In: HSC Research Reports.
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paper2

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