[PDF] Top 20 Model of Electric Power Load by Adaptive Neural Network

Model of Electric Power Load by Adaptive Neural Network

... The ANN is a set of processing elements (neurons or perceptrons) with a specific topology of weighted interconnections between these elements and a learning law for updating the weights of interconnection between two ... See full document

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Adaptive Control of a DC Motor Using Neural Network Sliding Mode Control

... an Adaptive Neural Network Sliding Mode Controller (ANNSMC) design approach is ...against model uncertainties and external disturbances, and also its ability in controlling nonlinear and MIMO ... See full document

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Capacity Integration into a Microgrid, a Tool for Electrical Energy Supply Cost Reduction in Nigeria- Covenant University as a Case Study

... stand-alone power generating plants was investigated using the generating capacities of the generators and consumption (load) profile obtained from a campus based ...of power generation within the ... See full document

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On the Application of Artificial Neural Network in Analyzing and Studying Daily Loads of Jordan Power System Plant

... the factors determining the load are much more difficult to define. Each person behaves in his own individual way, and human psychology is involved in each consumption decision. Many social and behavioral factors ... See full document

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Implementation of Neural Network Approach for Short term Load forecasting

... Artificial Neural Network (ANN) Method is appliedto forecast the short-term load for a large power ...system.The load has two distinct patterns: weekday and ...nonlinear load ... See full document

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Fault Detection of Electric Power Transmission Line by Using Neural Network

... the Adaptive Resonance Theory ...forward neural network has been shown in the Fig ...the neural network are obtained prior to the training process either by using physical measurements ... See full document

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Study on Computer Generated Electromagnetic Effects on Computer Users

... of Neural Network (NN) based fuel cell powered electric vehicle model is analyzed for three different modified drive cycle patterns such as M- HWY, M-US06 and M-FTP based on which they are ... See full document

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Fuzzy Load Forecasting of Electric Power System

... The load forecast for electric power system includes the largest active load; the reactive power load, and the load ...active load determines the basic data of the ... See full document

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Electrical Load Forecasting in Power Distribution Network by Using Artificial Neural Network

... the neural network in estimating the electrical power ...the load with high ...term load forecasting. This research and generally every research about load forecasting can be ... See full document

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Application of Local Linear Wavelet Neural Network in Short Term Electric Load Forecasting

... Wavelet Neural Network (LLWNN) has not yet been tested for electric load ...LLWNN model which smoothly maps the input-output space by adapting the shape of wavelet basis function of ... See full document

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Load Flow Investigation of a Prototype Nigerian Northern 330 KV Grid

... presented load flow analysis of a prototype Nigerian Northern 330 kV grid as it is presently, utilizing raw data obtained from Transmission Company of Nigeria Abuja and Osogbo centers ...The network ... See full document

13

A Review on: Artificial intelligence techniques in electrical and computer engineering

... in power systems, the active power filter (APF) is an extremely appropriate ...the load harmonics may possibly be very complex and transform indiscriminately and ...(PWM), ... See full document

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An Effective Artificial Neural Network based Power Load Prediction Algorithm

... hybridized model of ANN with GA is used to optimize the number of input neurons and the number of neurons in the hidden layer of the neural network ...of load demand ...(RBF) neural ... See full document

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Lyapunov Based Dynamic Neural Network for Adaptive Control of Complex Systems

... Neural network modeling of a system from samples af- fected by noise usually requires three ...of neural network architecture, that is to say, the number of neurons in the input layer which is ... See full document

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Multiple linear regression and neural network for electric load forecasting

... a load forecasting is a very important task for electricity function in a more efficient and safe way (Soares and Medeiros, ...future load demands. By predicting the future load demands, power ... See full document

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Voltage stability analysis of load buses in electric power system using adaptive neuro fuzzy inference system (ANFIS) and probabilistic neural network (PNN)

... artificial neural network (ANN) in voltage stability ...(MLPBP) neural network, adaptive neuro-fuzzy inference system (ANFIS) and probabilistic ... See full document

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... artificial neural network (ANN) application of load frequency control (LFC) of a Multi-Area power system by using a neural network controller is ...artificial neural ... See full document

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Adaptive ARIMA Model based on Lazy Learning Algorithm for Short Period Electric Load Forecasting

... in electric utility could establish a more responsive grid that balances the power supply and ...from electric devices and integrating the intelligent operation ...of power outages, which ... See full document

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Transformer’s Load Forecasting to Find the Transformer Usage Capacity with Adaptive Neuro-Fuzzy Inference System Method

... artificial neural network ...electrical load can be shorter. For rapid and exact results neural computing techniques are majorly used, which works by training ... See full document

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Classification of voltage stability states of a multi bus power system network using probabilistic neural network (PNN)

... Modern power systems nowadays are forced to operate under stressed condition due to escalating increase in demand and ambitious business ...for electric power has resulted in increasingly complex ... See full document

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