Publication detail

Implementation of Hybrid-Fuzzy Neural Network Approach for Short Term Hourly and Peak Load Forecasting Using Weather Parameters.

KHAN, M. ŽÁK, L. ONDRŮŠEK, Č.

Czech title

Užití fuzzy neuronové sítě pro předpověď

English title

Implementation of Hybrid-Fuzzy Neural Network Approach for Short Term Hourly and Peak Load Forecasting Using Weather Parameters.

Type

conference paper

Language

en

Original abstract

This paper presents the development and practical implementation of a hybrid fuzzy-neural network (FNN) technique, which combines neural network modeling, and techniques from fuzzy logic and fuzzy set theory for short-term hourly and peak load forecasting for the Czech Power Company (ČEZ), Czech Republic. The load has two distinct patterns: weekday and weekend-day patterns. The weekend-day pattern include Saturday, Sunday, and special days/holidays loads. Inputs to the FNN are past loads and past weather parameters i.e., temperature, humidity, wind-speed, and wind-chill and the output of the FNN is the load forecast for a given day. Simulation results are presented to illustrate the performance and applicability of this hybrid approach. This approach avoids complex mathematical calculations and training on many years of data, and is very simple to implement on a personal computer.

Czech abstract

není

English abstract

This paper presents the development and practical implementation of a hybrid fuzzy-neural network (FNN) technique, which combines neural network modeling, and techniques from fuzzy logic and fuzzy set theory for short-term hourly and peak load forecasting for the Czech Power Company (ČEZ), Czech Republic. The load has two distinct patterns: weekday and weekend-day patterns. The weekend-day pattern include Saturday, Sunday, and special days/holidays loads. Inputs to the FNN are past loads and past weather parameters i.e., temperature, humidity, wind-speed, and wind-chill and the output of the FNN is the load forecast for a given day. Simulation results are presented to illustrate the performance and applicability of this hybrid approach. This approach avoids complex mathematical calculations and training on many years of data, and is very simple to implement on a personal computer.

Keywords in English

Short-term hourly and peak load forecasting, Hybrid fuzzy-neural network, weather parameters

RIV year

2001

Released

01.06.2001

Publisher

VUT FSI

Location

Brno

ISBN

80-214-1894-X

Book

7th International Conference on Soft Computing.

Pages count

6

BIBTEX


@inproceedings{BUT6352,
  author="Muhammad R {Khan} and Libor {Žák} and Čestmír {Ondrůšek},
  title="Implementation of Hybrid-Fuzzy Neural Network Approach for Short Term Hourly and Peak Load Forecasting Using Weather Parameters.",
  booktitle="7th International Conference on Soft Computing.",
  year="2001",
  month="June",
  publisher="VUT FSI",
  address="Brno",
  isbn="80-214-1894-X"
}