E3S Web Conf.
Volume 108, 2019Energy and Fuels 2018
|Number of page(s)||9|
|Published online||05 July 2019|
Model of medium-term forecasting of energy mix in Poland
Czestochowa University of Technology, Faculty of Electrical Engineering, 42-200 Czestochowa, Poland
* Corresponding author: email@example.com
The paper presents analyses based on data published by ARE S.A. (Energy Market Agency) concerning the balance and structure of electricity generation. The data include monthly amount of energy generated by main activity power plants (thermal, hydropower and wind), independent power producers and industrial combined heat and power plants. The forecasting method based on Adaptive Neuro-Fuzzy Inference System (ANFIS) provides a tool for making a short-term forecast of electricity generation, together with its structure, by means of which it is possible to analyze the energy mix. The results of estimation and verification of the above-mentioned model are presented as well as selected forecast results.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.