IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to follow this author

Jakub Nowotarski

This is information that was supplied by Jakub Nowotarski in registering through RePEc. If you are Jakub Nowotarski , you may change this information at the RePEc Author Service. Or if you are not registered and would like to be listed as well, register at the RePEc Author Service. When you register or update your RePEc registration, you may identify the papers and articles you have authored.

Personal Details

First Name:Jakub
Middle Name:
Last Name:Nowotarski
Suffix:
RePEc Short-ID:pno175
[This author has chosen not to make the email address public]
in new window
  1. Jakub Nowotarski & Rafal Weron, 2016. "Recent advances in electricity price forecasting: A review of probabilistic forecasting," HSC Research Reports HSC/16/07, Hugo Steinhaus Center, Wroclaw University of Technology.
  2. Jakub Nowotarski & Rafal Weron, 2016. "To combine or not to combine? Recent trends in electricity price forecasting," HSC Research Reports HSC/16/01, Hugo Steinhaus Center, Wroclaw University of Technology.
  3. Bartosz Uniejewski & Jakub Nowotarski & Rafal Weron, 2016. "Automated variable selection and shrinkage for day-ahead electricity price forecasting," HSC Research Reports HSC/16/06, Hugo Steinhaus Center, Wroclaw University of Technology.
  4. Jakub Nowotarski & Rafal Weron, 2016. "On the importance of the long-term seasonal component in day-ahead electricity price forecasting," HSC Research Reports HSC/16/05, Hugo Steinhaus Center, Wroclaw University of Technology.
  5. Bidong Liu & Jakub Nowotarski & Tao Hong & Rafal Weron, 2015. "Probabilistic load forecasting via Quantile Regression Averaging on sister forecasts," HSC Research Reports HSC/15/01, Hugo Steinhaus Center, Wroclaw University of Technology.
  6. Katarzyna Maciejowska & Jakub Nowotarski, 2015. "A hybrid model for GEFCom2014 probabilistic electricity price forecasting," HSC Research Reports HSC/15/06, Hugo Steinhaus Center, Wroclaw University of Technology.
  7. Jakub Nowotarski & Bidong Liu & Rafal Weron & Tao Hong, 2015. "Improving short term load forecast accuracy via combining sister forecasts," HSC Research Reports HSC/15/05, Hugo Steinhaus Center, Wroclaw University of Technology.
  8. Tao Hong & Katarzyna Maciejowska & Jakub Nowotarski & Rafal Weron, 2014. "Probabilistic load forecasting via Quantile Regression Averaging of independent expert forecasts," HSC Research Reports HSC/14/10, Hugo Steinhaus Center, Wroclaw University of Technology.
  9. Katarzyna Maciejowska & Jakub Nowotarski & Rafal Weron, 2014. "Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging," HSC Research Reports HSC/14/09, Hugo Steinhaus Center, Wroclaw University of Technology.
  10. Jakub Nowotarski & Rafal Weron, 2014. "Merging quantile regression with forecast averaging to obtain more accurate interval forecasts of Nord Pool spot prices," HSC Research Reports HSC/14/03, Hugo Steinhaus Center, Wroclaw University of Technology.
  11. Jakub Nowotarski & Eran Raviv & Stefan Trueck & Rafal Weron, 2013. "An empirical comparison of alternate schemes for combining electricity spot price forecasts," HSC Research Reports HSC/13/07, Hugo Steinhaus Center, Wroclaw University of Technology.
  12. Jakub Nowotarski, 2013. "Short-term forecasting of electricity spot prices using model averaging (Krótkoterminowe prognozowanie spotowych cen energii elektrycznej z wykorzystaniem uśredniania modeli)," HSC Research Reports HSC/13/17, Hugo Steinhaus Center, Wroclaw University of Technology.
  13. Jakub Nowotarski & Rafal Weron, 2013. "Computing electricity spot price prediction intervals using quantile regression and forecast averaging," HSC Research Reports HSC/13/12, Hugo Steinhaus Center, Wroclaw University of Technology.
  14. Jakub Nowotarski & Jakub Tomczyk & Rafal Weron, 2013. "Modeling and forecasting of the long-term seasonal component of the EEX and Nord Pool spot prices," HSC Research Reports HSC/13/02, Hugo Steinhaus Center, Wroclaw University of Technology.
  15. Jakub Nowotarski & Jakub Tomczyk & Rafal Weron, 2012. "Robust estimation and forecasting of the long-term seasonal component of electricity spot prices," HSC Research Reports HSC/12/06, Hugo Steinhaus Center, Wroclaw University of Technology.
  1. Maciejowska, Katarzyna & Nowotarski, Jakub & Weron, Rafał, 2016. "Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging," International Journal of Forecasting, Elsevier, vol. 32(3), pages 957-965.
  2. Bartosz Uniejewski & Jakub Nowotarski & Rafał Weron, 2016. "Automated Variable Selection and Shrinkage for Day-Ahead Electricity Price Forecasting," Energies, MDPI, Open Access Journal, vol. 9(8), pages 621, August.
  3. Maciejowska, Katarzyna & Nowotarski, Jakub, 2016. "A hybrid model for GEFCom2014 probabilistic electricity price forecasting," International Journal of Forecasting, Elsevier, vol. 32(3), pages 1051-1056.
  4. Nowotarski, Jakub & Liu, Bidong & Weron, Rafał & Hong, Tao, 2016. "Improving short term load forecast accuracy via combining sister forecasts," Energy, Elsevier, vol. 98(C), pages 40-49.
  5. Nowotarski, Jakub & Weron, Rafał, 2016. "On the importance of the long-term seasonal component in day-ahead electricity price forecasting," Energy Economics, Elsevier, vol. 57(C), pages 228-235.
  6. Jakub Nowotarski & Rafał Weron, 2015. "Computing electricity spot price prediction intervals using quantile regression and forecast averaging," Computational Statistics, Springer, vol. 30(3), pages 791-803, September.
  7. Nowotarski, Jakub & Raviv, Eran & Trück, Stefan & Weron, Rafał, 2014. "An empirical comparison of alternative schemes for combining electricity spot price forecasts," Energy Economics, Elsevier, vol. 46(C), pages 395-412.
  8. Nowotarski, Jakub & Tomczyk, Jakub & Weron, Rafał, 2013. "Robust estimation and forecasting of the long-term seasonal component of electricity spot prices," Energy Economics, Elsevier, vol. 39(C), pages 13-27.
  1. Jakub Nowotarski & Rafal Weron, 2016. "SCAR: MATLAB function to compute day-ahead predictions of the electricity spot price using the Seasonal Component AutoRegressive (SCAR) model," HSC Software M16001, Hugo Steinhaus Center, Wroclaw University of Technology.
  2. Jakub Nowotarski & Rafal Weron, 2016. "SCAR_EXAMPLE: MATLAB codes and data for "On the importance of the long-term seasonal component in day-ahead electricity price forecasting"," HSC Software ZIP16002, Hugo Steinhaus Center, Wroclaw University of Technology.
  3. Jakub Nowotarski, 2014. "QRA: MATLAB function to compute interval forecasts using Quantile Regression Averaging (QRA)," HSC Software M14003, Hugo Steinhaus Center, Wroclaw University of Technology.
  4. Jakub Nowotarski & Rafal Weron, 2013. "LTSC_EXAMPLE: MATLAB example script and data for "Robust estimation and forecasting of the long-term seasonal component of electricity spot prices"," HSC Software ZIP13002, Hugo Steinhaus Center, Wroclaw University of Technology.
  5. Jakub Nowotarski & Jakub Tomczyk & Rafal Weron, 2013. "LTSCWAVE: MATLAB function to estimate and forecast the long-term seasonal component (LTSC) of an electricity spot price series using wavelet-based methods," HSC Software M13003, Hugo Steinhaus Center, Wroclaw University of Technology.
  6. Jakub Nowotarski & Jakub Tomczyk & Rafal Weron, 2013. "LTSCSIN: MATLAB function to estimate and forecast the long-term seasonal component (LTSC) of an electricity spot price series using sine-based methods," HSC Software M13002, Hugo Steinhaus Center, Wroclaw University of Technology.
  7. Jakub Nowotarski & Jakub Tomczyk & Rafal Weron, 2013. "LTSCSIMPLE: MATLAB function to estimate and forecast the long-term seasonal component (LTSC) of an electricity spot price series using simple methods," HSC Software M13001, Hugo Steinhaus Center, Wroclaw University of Technology.
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 15 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ENE: Energy Economics (15) 2012-11-17 2012-11-24 2013-03-02 2013-08-31 2014-01-10 2014-03-15 2014-07-13 2014-08-02 2015-05-09 2015-05-16 2015-10-04 2016-03-10 2016-04-04 2016-07-30 2016-10-09. Author is listed
  2. NEP-FOR: Forecasting (13) 2012-11-17 2012-11-24 2013-03-02 2013-08-31 2014-01-10 2014-03-15 2014-07-13 2014-08-02 2015-02-11 2015-05-16 2016-03-10 2016-04-04 2016-07-30. Author is listed
  3. NEP-ECM: Econometrics (4) 2014-01-10 2014-03-15 2014-07-13 2014-08-02. Author is listed
  4. NEP-ETS: Econometric Time Series (2) 2012-11-17 2015-05-09
  5. NEP-REG: Regulation (2) 2013-08-31 2016-07-30
  6. NEP-CMP: Computational Economics (1) 2016-10-09
  7. NEP-ORE: Operations Research (1) 2016-07-30
This author is among the top 5% authors according to these criteria:
  1. Number of Downloads through RePEc Services over the past 12 months
  2. Number of Downloads through RePEc Services over the past 12 months, Weighted by Number of Authors

Most cited item

Most downloaded item (past 12 months)

Access and download statistics for all items

Co-authorship network on CollEc

For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Jakub Nowotarski should log into the RePEc Author Service

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.