Opracowano i oprogramowano algorytmy wyznaczania modeli rozmytych, a w szczególności algorytm doboru zmiennych wejściowych do modeli oraz algorytm wyznaczania struktury modeli. Spowodowało to przyśpieszenie procesu budowy modeli prognostycznych opartych na teorii zbiorów rozmytych, dając w ten sposób możność łatwego ich zastosowania do prognozowania zużycia energii elektrycznej na wsi.The scope of the research involved development and programming of algorithms for determining fuzzy models, and in particular an algorithm for selecting input variables for models and an algorithm for determining the structure of models. This resulted in the acceleration of the process involving construction of predicting models based on fuzzy set theory, thus ...
In this paper, a number of approaches to the modelling of electricity demand, on a variety of time-s...
Purpose. The development of a model for assessing the level of permissible risk of an emergency situ...
Electrical energy consumption forecasting is, nowadays, essential in order to deal with the new para...
Opracowano modele relacyjne do krótkoterminowego prognozowania zapotrzebowania na energię elektryczn...
Seasonal fluctuations in electricity consumption, and uneven loading of supply lines reduce not only...
This paper presents a mathematical model for short-term (24 hour) electrical energy consumption in I...
The study of demand forecast correlated to time series of electric energy develops an optimization p...
W pracy zbudowano modele z wnioskowaniem typu Mamdani do godzinowego prognozowania zapotrzebowania n...
In this paper the development of neural network based fuzzy inference system for electricity consump...
This paper proposes a prediction model based on fuzzy logic applied to anticipate electricity produc...
The paper discusses the implementation of a fuzzy-logic approach to provide a structural framework f...
This paper presents a fuzzy model suite for short-term (24 hour) electrical energy consumption in Ir...
The paper presents analyses based on data published by ARE S.A. (Energy Market Agency) concerning th...
This paper aims to forecast Turkey's short-term gross annual electricity demand by applying fuzzy lo...
Balancing the production and consumption of electricity is an urgent task. Its implementation largel...
In this paper, a number of approaches to the modelling of electricity demand, on a variety of time-s...
Purpose. The development of a model for assessing the level of permissible risk of an emergency situ...
Electrical energy consumption forecasting is, nowadays, essential in order to deal with the new para...
Opracowano modele relacyjne do krótkoterminowego prognozowania zapotrzebowania na energię elektryczn...
Seasonal fluctuations in electricity consumption, and uneven loading of supply lines reduce not only...
This paper presents a mathematical model for short-term (24 hour) electrical energy consumption in I...
The study of demand forecast correlated to time series of electric energy develops an optimization p...
W pracy zbudowano modele z wnioskowaniem typu Mamdani do godzinowego prognozowania zapotrzebowania n...
In this paper the development of neural network based fuzzy inference system for electricity consump...
This paper proposes a prediction model based on fuzzy logic applied to anticipate electricity produc...
The paper discusses the implementation of a fuzzy-logic approach to provide a structural framework f...
This paper presents a fuzzy model suite for short-term (24 hour) electrical energy consumption in Ir...
The paper presents analyses based on data published by ARE S.A. (Energy Market Agency) concerning th...
This paper aims to forecast Turkey's short-term gross annual electricity demand by applying fuzzy lo...
Balancing the production and consumption of electricity is an urgent task. Its implementation largel...
In this paper, a number of approaches to the modelling of electricity demand, on a variety of time-s...
Purpose. The development of a model for assessing the level of permissible risk of an emergency situ...
Electrical energy consumption forecasting is, nowadays, essential in order to deal with the new para...