Opracowano modele relacyjne do krótkoterminowego prognozowania zapotrzebowania na energię elektryczną odbiorców wiejskich. Przy ich wyznaczaniu skorzystano z opisanych w części I algorytmów wyznaczania modeli rozmytych. Przeprowadzona analiza wykazała przydatność zbudowanych w ten sposób modeli relacyjnych do predykcji z wyprzedzeniem godzinowym.The research involved development of relationship models for short-term predicting of electric energy demand for rural consumers. When defining them, the researchers used algorithms for determining fuzzy models described in part I. Completed analysis has proven that relationship models built in this way are useful for prediction with one-hour advance
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...
Electrical energy consumption forecasting is, nowadays, essential in order to deal with the new para...
Opracowano i oprogramowano algorytmy wyznaczania modeli rozmytych, a w szczególności algorytm doboru...
W pracy zbudowano modele z wnioskowaniem typu Mamdani do godzinowego prognozowania zapotrzebowania n...
The study of demand forecast correlated to time series of electric energy develops an optimization p...
W pracy porównywano przydatność opartych na teorii zbiorów rozmytych modeli Mamdaniego i modeli Taka...
Seasonal fluctuations in electricity consumption, and uneven loading of supply lines reduce not only...
Author presents a model for estimating rural household electric power demand. After verifying, this ...
W pracy sprawdzano przydatność wybranych modeli wywodzących się z teorii chaosu zdeterminowanego do ...
This paper presents a mathematical model for short-term (24 hour) electrical energy consumption in I...
Balancing the production and consumption of electricity is an urgent task. Its implementation largel...
Electricity load prediction is fundamentally needed in the electricity business as unit commitment d...
Electricity demand forecasting is of important role in power system planning and operation. In this ...
The challenges of the modern world require transformations in the energy market towards the possible...
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...
Electrical energy consumption forecasting is, nowadays, essential in order to deal with the new para...
Opracowano i oprogramowano algorytmy wyznaczania modeli rozmytych, a w szczególności algorytm doboru...
W pracy zbudowano modele z wnioskowaniem typu Mamdani do godzinowego prognozowania zapotrzebowania n...
The study of demand forecast correlated to time series of electric energy develops an optimization p...
W pracy porównywano przydatność opartych na teorii zbiorów rozmytych modeli Mamdaniego i modeli Taka...
Seasonal fluctuations in electricity consumption, and uneven loading of supply lines reduce not only...
Author presents a model for estimating rural household electric power demand. After verifying, this ...
W pracy sprawdzano przydatność wybranych modeli wywodzących się z teorii chaosu zdeterminowanego do ...
This paper presents a mathematical model for short-term (24 hour) electrical energy consumption in I...
Balancing the production and consumption of electricity is an urgent task. Its implementation largel...
Electricity load prediction is fundamentally needed in the electricity business as unit commitment d...
Electricity demand forecasting is of important role in power system planning and operation. In this ...
The challenges of the modern world require transformations in the energy market towards the possible...
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...
Electrical energy consumption forecasting is, nowadays, essential in order to deal with the new para...