<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The paper analyses the performance results of the recently developed short-term forecasting suit for the Latvian power system. The system load and wind power are forecasted using ANN and ARIMA models, respectively, and the forecasting accuracy is evaluated in terms of errors, mean absolute errors and mean absolute percentage errors. The investigation of influence of additional input variables on load forecasting errors is performed. The interplay of hourly loads and wind power forecasting errors is also evaluated for the Latvian power system with historical loads (the year 2011) and planned wind power capacities (the year 2023).</p></abstract>

The paper analyses the performance results of the recently developed short-term forecasting suit for the Latvian power system. The system load and wind power are forecasted using ANN and ARIMA models, respectively, and the forecasting accuracy is evaluated in terms of errors, mean absolute errors and mean absolute percentage errors. The investigation of influence of additional input variables on load forecasting errors is performed. The interplay of hourly loads and wind power forecasting errors is also evaluated for the Latvian power system with historical loads (the year 2011) and planned wind power capacities (the year 2023).

Short-Term Forecasting of Loads and Wind Power for Latvian Power System: Accuracy and Capacity of the Developed Tools

Riga Technical University, 1 Kalku Str., Riga LV-1658, LATVIA

Latvian Journal of Physics and Technical Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The paper analyses the performance results of the recently developed short-term forecasting suit for the Latvian power system. The system load and wind power...

Short-Term Forecasting of Loads and Wind Power for Latvian Power System: Accuracy and Capacity of the Developed Tools

Online veröffentlicht: 20. Mai 2016

Seitenbereich: 3 - 13

DOI: https://doi.org/10.1515/lpts-2016-0008

Schlüsselwörter
forecasting error, short-term forecasting, system load, wind power, wind speed

© 2016 V. Radziukynas et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Short-Term Forecasting of Loads and Wind Power for Latvian Power System: Accuracy and Capacity of the Developed Tools

Online veröffentlicht: 20. Mai 2016

Seitenbereich: 3 - 13

DOI: https://doi.org/10.1515/lpts-2016-0008

Schlüsselwörterforecasting error, short-term forecasting, system load, wind power, wind speed

© 2016 V. Radziukynas et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
forecasting error, short-term forecasting, system load, wind power, wind speed