Add to ORKGIn this paper, Hopfield Neural Network (HNN) and Lagrange Multiplier (LM) solutions to economic dispatch (ED), NOx emission dispatch (EmD), and economic-emission dispatch (EED) of a sample system consisting of six thermal generators are presented. Transmission losses are included. The results of HNN are compared with the results of LM
A neural approach to solve the problem defined by the economic load dispatch in power systems is pre...
In the power system, economic power dispatch is a popular and fundamental optimization problem. In i...
AbstractA power system with many generating units should run under economic condition. The operating...
In this paper, Hopfield Neural Network (HNN) and Lagrange Multiplier (LM) solutions to economic disp...
Nowadays, optimum generation and consumption of energy are considered as two important problems. Eco...
This paper proposes a Hopfield Lagrange Network (HLN) based method (HLNM) for economic emission disp...
In modern industrialized society, an Economic Dispatch (ED) of power generating units has always bee...
This paper is mainly concerned with an investigation of the suitability of Hopfield neural network s...
In this paper, one conventional and two AI techniques are investigated to find their suitability for...
Non-intrusive energy-management (NIEM) techniques are based on energy signatures. While such approac...
Economic dispatch (ED) problems have recently been solved by artificial neural network approaches. S...
Economic Dispatch (ED) problems have recently been solved by artificial neural networks approaches. ...
The Economic Load Dispatch (ELD) is considered to minimize the only fuel cost in power system planni...
WOS: 000169928200003This paper aims to identify and investigate a new Hopfield neural network struct...
This letter outlines a hybrid genetic algorithm (HGA) for solving the economic dispatch problem. The...
A neural approach to solve the problem defined by the economic load dispatch in power systems is pre...
In the power system, economic power dispatch is a popular and fundamental optimization problem. In i...
AbstractA power system with many generating units should run under economic condition. The operating...
In this paper, Hopfield Neural Network (HNN) and Lagrange Multiplier (LM) solutions to economic disp...
Nowadays, optimum generation and consumption of energy are considered as two important problems. Eco...
This paper proposes a Hopfield Lagrange Network (HLN) based method (HLNM) for economic emission disp...
In modern industrialized society, an Economic Dispatch (ED) of power generating units has always bee...
This paper is mainly concerned with an investigation of the suitability of Hopfield neural network s...
In this paper, one conventional and two AI techniques are investigated to find their suitability for...
Non-intrusive energy-management (NIEM) techniques are based on energy signatures. While such approac...
Economic dispatch (ED) problems have recently been solved by artificial neural network approaches. S...
Economic Dispatch (ED) problems have recently been solved by artificial neural networks approaches. ...
The Economic Load Dispatch (ELD) is considered to minimize the only fuel cost in power system planni...
WOS: 000169928200003This paper aims to identify and investigate a new Hopfield neural network struct...
This letter outlines a hybrid genetic algorithm (HGA) for solving the economic dispatch problem. The...
A neural approach to solve the problem defined by the economic load dispatch in power systems is pre...
In the power system, economic power dispatch is a popular and fundamental optimization problem. In i...
AbstractA power system with many generating units should run under economic condition. The operating...