Add to ORKGProceedings of the International Conference on Energy Management and Power Delivery, EMPD2576-5810023
Short-Term Load Forecasting (STLF) plays an important role for the economic and secure operation of ...
This document presents an energy forecast methodology using Adaptive Neuro-Fuzzy Inference System (A...
The prediction of the electric demand has become as one of the main investigation fields in the elec...
Dimirovski, Georgi M. (Dogus Author) -- Conference full title: 2010 14th International Power Electro...
Abstract: Short-term load forecasting (STLF) plays an essential role in the economic system and save...
Load forecasting is an important component for energy management system. Precise load forecasting he...
Abstract—Electric load forecasting is essential to improve the reliability of the ac power line data...
This paper presents a neural network with a novel neuron model. In this model, the neuron has two ac...
This paper presents a methodology for short-term load forecasting based on genetic algorithm feature...
This paper studies the application of genetic algorithms in helping to select the proper architectur...
ABSTRACT: Short-term load forecasting method is the basis of optimizing the operation for power syst...
Abstract—Forecasting the electrical load requirements is an important research objective for maintai...
The forecasting of electrical energy provides the required information about future conditions of th...
AbstractThe electrical short term load forecasting has been emerged as one of the most essential fie...
The major predicament with electricity as a means of transporting energy is that it cannot be stored...
Short-Term Load Forecasting (STLF) plays an important role for the economic and secure operation of ...
This document presents an energy forecast methodology using Adaptive Neuro-Fuzzy Inference System (A...
The prediction of the electric demand has become as one of the main investigation fields in the elec...
Dimirovski, Georgi M. (Dogus Author) -- Conference full title: 2010 14th International Power Electro...
Abstract: Short-term load forecasting (STLF) plays an essential role in the economic system and save...
Load forecasting is an important component for energy management system. Precise load forecasting he...
Abstract—Electric load forecasting is essential to improve the reliability of the ac power line data...
This paper presents a neural network with a novel neuron model. In this model, the neuron has two ac...
This paper presents a methodology for short-term load forecasting based on genetic algorithm feature...
This paper studies the application of genetic algorithms in helping to select the proper architectur...
ABSTRACT: Short-term load forecasting method is the basis of optimizing the operation for power syst...
Abstract—Forecasting the electrical load requirements is an important research objective for maintai...
The forecasting of electrical energy provides the required information about future conditions of th...
AbstractThe electrical short term load forecasting has been emerged as one of the most essential fie...
The major predicament with electricity as a means of transporting energy is that it cannot be stored...
Short-Term Load Forecasting (STLF) plays an important role for the economic and secure operation of ...
This document presents an energy forecast methodology using Adaptive Neuro-Fuzzy Inference System (A...
The prediction of the electric demand has become as one of the main investigation fields in the elec...