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127 623 (0,242s)

Result

Short term load forecasting with multilayer perceptron and recurrent neural networks

The ability of the Elman recurrent neural network (RNN) to model the short term load forecasting (STFL) problem is investigated in this paper....

JA - Elektronika a optoelektronika, elektrotechnika

  • 2002
  • Jx
Result

Fuzzy-Neural Network Based Short-Term Seasonal and Average Load Forecasting

Seasonal and average load forecasting for czech electric power utility using fuzzy neural network. Comparison of accuracy related to seasonal loading....

JA - Elektronika a optoelektronika, elektrotechnika

  • 2001
  • D
Result

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

Artificial inteligence used in short-term hourly and peak load forecasting using wheather parameters. Analysis of hybrid fuzzy-neural network used....

JA - Elektronika a optoelektronika, elektrotechnika

  • 2001
  • D
Result

FUZZY-NEURAL NETWORK BASED SHORT-TERM SEASONAL AND AVERAGE LOAD FORECASTING

for short-term average and seasonal load prediction is proposed for the Czech Electric and evaluated for forecasting seasonal and average load profiles based on forecast weather data. The fuzzy m...

BB - Aplikovaná statistika, operační výzkum

  • 2001
  • D
Result

Fuzzy Logic Based Short-Term Electric Load Forecasting

Load forecasting of electric power distribution system.Artificial inteligence, namely fuzzy logic used for it. Comparison with other methods....

JA - Elektronika a optoelektronika, elektrotechnika

  • 2001
  • D
Result

Short-term Load Forecasting Based on a Multi-Model

NOT available...

BC - Teorie a systémy řízení

  • 2000
  • D
Result

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

, 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 and the output of the FNN...

BB - Aplikovaná statistika, operační výzkum

  • 2001
  • D
Result

Solar Energy Forecaster

into two groups - short term and long term forecasts. Short term forecasts contain days (e.g. for planning of load commitment). On the other hand, long term PV producti...

BC - Teorie a systémy řízení

  • 2014
  • R
  • Link
Result

Fuzzy Logic Based Short_Term Electric Load Forecasting

theory for short-term load forecasting. The proposed technique utilizes fuzzy rules to incorporate historical weather and load data. The strengths of this powerful technique lie in its ability to fore...

BB - Aplikovaná statistika, operační výzkum

  • 2001
  • D
Result

Short-term Power Demand Forecasting using the Differential Polynomial Neural Network

Power demand forecasting is important for economically efficient operation and effective control of power systems and enables to plan the load of generating unit. The purpose of the short-term electricity demand

IN - Informatika

  • 2015
  • Jx
  • Link
  • 1 - 10 out of 127 623