Bartosz Uniejewski : Citation Profile


Are you Bartosz Uniejewski?

Politechnika Wrocławska (50% share)

5

H index

3

i10 index

62

Citations

RESEARCH PRODUCTION:

3

Articles

7

Papers

RESEARCH ACTIVITY:

   2 years (2016 - 2018). See details.
   Cites by year: 31
   Journals where Bartosz Uniejewski has often published
   Relations with other researchers
   Recent citing documents: 31.    Total self citations: 8 (11.43 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pun47
   Updated: 2019-11-16    RAS profile: 2019-07-06    
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Relations with other researchers


Works with:

Weron, Rafał (10)

Marcjasz, Grzegorz (4)

Nowotarski, Jakub (2)

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

Is cited by:

Weron, Rafał (25)

Marcjasz, Grzegorz (12)

Serafin, Tomasz (9)

Nowotarski, Jakub (3)

Afanasyev, Dmitriy (1)

Gianfreda, Angelica (1)

Maciejowska, Katarzyna (1)

Cites to:

Weron, Rafał (115)

Nowotarski, Jakub (58)

Trueck, Stefan (18)

Misiorek, Adam (17)

Maciejowska, Katarzyna (13)

Hong, Tao (11)

Marcjasz, Grzegorz (10)

Paraschiv, Florentina (9)

Janczura, Joanna (6)

Mariano, Roberto (6)

Nan, Fany (6)

Main data


Where Bartosz Uniejewski has published?


Journals with more than one article published# docs
Energies3

Working Papers Series with more than one paper published# docs
HSC Research Reports / Hugo Steinhaus Center, Wroclaw University of Technology7

Recent works citing Bartosz Uniejewski (2019 and 2018)


YearTitle of citing document
2018Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks. (2018). Weron, Rafał ; Ziel, Florian. In: Papers. RePEc:arx:papers:1805.06649.

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2018Probabilistic forecasting and simulation of electricity prices. (2018). Ziel, Florian ; Muniain, Peru. In: Papers. RePEc:arx:papers:1810.08418.

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2018The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts. (2018). Ziel, Florian ; Kath, Christopher. In: Papers. RePEc:arx:papers:1811.08604.

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2019Econometric modelling and forecasting of intraday electricity prices. (2019). Ziel, Florian ; Narajewski, Michal. In: Papers. RePEc:arx:papers:1812.09081.

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2019Intensity estimation of transaction arrivals on the intraday electricity market. (2019). Ziel, Florian ; Narajewski, Michal. In: Papers. RePEc:arx:papers:1901.09729.

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2019X-model: further development and possible modifications. (2019). Kulakov, Sergei. In: Papers. RePEc:arx:papers:1907.09206.

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2018Forecasting day-ahead electricity prices in Europe: The importance of considering market integration. (2018). Lago, Jesus ; de Schutter, Bart ; Vrancx, Peter ; de Ridder, Fjo. In: Applied Energy. RePEc:eee:appene:v:211:y:2018:i:c:p:890-903.

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2018Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms. (2018). Lago, Jesus ; de Schutter, Bart ; de Ridder, Fjo. In: Applied Energy. RePEc:eee:appene:v:221:y:2018:i:c:p:386-405.

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2019On the impact of outlier filtering on the electricity price forecasting accuracy. (2019). Afanasyev, Dmitriy ; Fedorova, Elena A. In: Applied Energy. RePEc:eee:appene:v:236:y:2019:i:c:p:196-210.

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2019Prediction and explanation of the formation of the Spanish day-ahead electricity price through machine learning regression. (2019). Gomez-Aleixandre, Javier ; Coto, Jose ; Diaz, Guzman. In: Applied Energy. RePEc:eee:appene:v:239:y:2019:i:c:p:610-625.

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2018Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks. (2018). Weron, Rafał ; Ziel, Florian. In: Energy Economics. RePEc:eee:eneeco:v:70:y:2018:i:c:p:396-420.

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2018The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts. (2018). Kath, Christopher ; Ziel, Florian. In: Energy Economics. RePEc:eee:eneeco:v:76:y:2018:i:c:p:411-423.

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2018Effective long short-term memory with differential evolution algorithm for electricity price prediction. (2018). Peng, LU ; Wang, Lin ; Liu, Rui. In: Energy. RePEc:eee:energy:v:162:y:2018:i:c:p:1301-1314.

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2019Investigating structural and occupant drivers of annual residential electricity consumption using regularization in regression models. (2019). Satre-Meloy, Aven. In: Energy. RePEc:eee:energy:v:174:y:2019:i:c:p:148-168.

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2018Recent advances in electricity price forecasting: A review of probabilistic forecasting. (2018). Weron, Rafał ; Nowotarski, Jakub. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:81:y:2018:i:p1:p:1548-1568.

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2018A Trading-Based Evaluation of Density Forecasts in a Real-Time Electricity Market. (2018). Bunn, Derek W ; Kermer, Stefan ; Gianfreda, Angelica. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:10:p:2658-:d:173889.

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2018Electricity Price Forecasting Using Recurrent Neural Networks. (2018). Ugurlu, Umut ; Tas, Oktay ; Oksuz, Ilkay. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:5:p:1255-:d:146305.

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2018Exploiting Artificial Neural Networks for the Prediction of Ancillary Energy Market Prices. (2018). Giovanelli, Christian ; Vyatkin, Valeriy ; Ichise, Ryutaro ; Sierla, Seppo. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:7:p:1906-:d:159229.

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2018The Financial Effect of the Electricity Price Forecasts’ Inaccuracy on a Hydro-Based Generation Company. (2018). Ugurlu, Umut ; Oksuz, Ilkay ; Kaya, Aycan ; Tas, Oktay. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:8:p:2093-:d:163292.

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2018Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting. (2018). Weron, Rafał ; Serafin, Tomasz ; Marcjasz, Grzegorz . In: Energies. RePEc:gam:jeners:v:11:y:2018:i:9:p:2364-:d:168385.

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2019Short-Term Electricity Demand Forecasting Using Components Estimation Technique. (2019). Wang, Depeng ; Ali, Sajid ; Iftikhar, Hasnain ; Shah, Ismail. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:13:p:2532-:d:244687.

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2019Parsing the Effects of Wind and Solar Generation on the German Electricity Trade Surplus. (2019). Most, Dominik ; Schmidt, Matthew ; Schonheit, David ; Kumar, Samarth. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:18:p:3434-:d:264754.

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2019Daily Operation Optimization of a Hybrid Energy System Considering a Short-Term Electricity Price Forecast Scheme. (2019). Mariano, Silvio ; Do, Maria ; Pombo, Jose ; Nunes, Hugo ; Bento, Pedro. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:5:p:924-:d:212592.

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2019Short-Term Electricity Price Forecasting with a Composite Fundamental-Econometric Hybrid Methodology. (2019). de Marcos, Rodrigo A ; Reneses, Javier ; Bello, Antonio. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:6:p:1067-:d:215468.

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2019Multi-Output Conditional Inference Trees Applied to the Electricity Market: Variable Importance Analysis. (2019). Dfuf, Ismael Ahrazem ; Gonzalez, Maria Camino ; Mira, Jose Manuel. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:6:p:1097-:d:215955.

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2018Size matters: Estimation sample length and electricity price forecasting accuracy. (2018). Mosetti, Luca ; Fezzi, Carlo. In: DEM Working Papers. RePEc:trn:utwprg:2018/10.

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2018A note on averaging day-ahead electricity price forecasts across calibration windows. (2018). Weron, Rafał ; Marcjasz, Grzegorz ; Hubicka, Katarzyna. In: HSC Research Reports. RePEc:wuu:wpaper:hsc1803.

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2018Selection of calibration windows for day-ahead electricity price forecasting. (2018). Weron, Rafał ; Serafin, Tomasz ; Marcjasz, Grzegorz. In: HSC Research Reports. RePEc:wuu:wpaper:hsc1806.

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2018Electricity price forecasting. (2018). Weron, Rafał ; Ziel, Florian. In: HSC Research Reports. RePEc:wuu:wpaper:hsc1808.

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2018Radioinactive: Are nuclear power plant outages in France contagious to the German electricity price?. (2018). Rinne, Sonja. In: CIW Discussion Papers. RePEc:zbw:ciwdps:32018.

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Works by Bartosz Uniejewski:


YearTitleTypeCited
2018Efficient Forecasting of Electricity Spot Prices with Expert and LASSO Models In: Energies.
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article5
2018Efficient forecasting of electricity spot prices with expert and LASSO models.(2018) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 5
paper
2019Averaging Predictive Distributions Across Calibration Windows for Day-Ahead Electricity Price Forecasting In: Energies.
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article0
2016Automated Variable Selection and Shrinkage for Day-Ahead Electricity Price Forecasting In: Energies.
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article20
2016Automated variable selection and shrinkage for day-ahead electricity price forecasting.(2016) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 20
paper
2017Variance stabilizing transformations for electricity spot price forecasting In: HSC Research Reports.
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paper15
2017On the importance of the long-term seasonal component in day-ahead electricity price forecasting. Part II – Probabilistic forecasting In: HSC Research Reports.
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paper8
2017Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Neural network models In: HSC Research Reports.
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paper10
2018Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? In: HSC Research Reports.
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paper0
2018Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO In: HSC Research Reports.
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paper4

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