Fractal theory application for heat demand forecasting in district heating system
Piotr Aleksiejuk , Wojciech Bujalski
AbstractSummary. The aim of this thesis is to formulate short-term heat demand forecasting model based on fractal theory that predicts the value of heat demand for all receivers connected to district heating system depending on weather forecast and calendar information. The paper contains descriptions of basic fractal theory concepts, techniques, analysis of self-similarity of heat demand data, and developed methodology of constructing fractal interpolation curve. Forecast accuracy was investigated for planning heat production in 24-hour horizon.
|Journal series||Rynek Energii, ISSN 1425-5960|
|Publication size in sheets||0.5|
|Keywords in English||planning heat, analysis of self-similarity, predictive model, fractal theory, heat demand, district heating system, fractal dimension, iterated function system, fractal interpolation|
|Score|| = 11.0, 05-09-2019, ArticleFromJournal|
= 11.0, 05-09-2019, ArticleFromJournal
|Publication indicators||: 2016 = 0.491; : 2010 = 0 (2)|
|Citation count*||1 (2020-06-19)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.