• No results found

[PDF] Top 20 An Effective Technique to reduce Total Harmonic Distortion in Distribution Network by using Neural Network

Has 10000 "An Effective Technique to reduce Total Harmonic Distortion in Distribution Network by using Neural Network" found on our website. Below are the top 20 most common "An Effective Technique to reduce Total Harmonic Distortion in Distribution Network by using Neural Network".

An Effective Technique to reduce Total Harmonic Distortion in Distribution Network by using Neural Network

An Effective Technique to reduce Total Harmonic Distortion in Distribution Network by using Neural Network

... in distribution system with a coupling transformer ,an inverter, and energy storage device then it is collectively called as DSTATCOM(Distribution Static Synchronous ...in distribution systems. In ... See full document

10

Reduction of Total harmonic distortion in new Cascaded H-Bridge Multilevel Inverter topology using artificial neural network technique

Reduction of Total harmonic distortion in new Cascaded H-Bridge Multilevel Inverter topology using artificial neural network technique

... of total harmonic distortion in new Cascaded H-bridge multilevel inverter topology with artificial neural network ...and total cost of the ...Artificial Neural ... See full document

8

Economic Based Neural Control Switching of TCR and TSC for Optimal Reactive Power Flow and Harmonic Minimization with Fuzzy Genetic

Economic Based Neural Control Switching of TCR and TSC for Optimal Reactive Power Flow and Harmonic Minimization with Fuzzy Genetic

... minimum harmonic distortion should be ...minimum harmonic production is applied. The issue of harmonic reduction in determining the fire angle of TCR and TSC, that are very important in FACTs, ... See full document

6

MOBILE SINK BASED RELIABLE AND ENERGY EFFICIENT DATA GATHERING TECHNIQUE FOR WSN

MOBILE SINK BASED RELIABLE AND ENERGY EFFICIENT DATA GATHERING TECHNIQUE FOR WSN

... with total harmonic distortion ...values. Using the THD data, identification of switch fault can be done by training the neural network ... See full document

8

Performance Optimization of Pi Controller in Three Phase Shunt Hybrid Filter Using PSO

Performance Optimization of Pi Controller in Three Phase Shunt Hybrid Filter Using PSO

... the Total Harmonic Distortion value is ...by using Particle Swarm Optimization method the Total Harmonic Distortion value has been comparatively reduced to ...the ... See full document

9

Artificial Neural Network Controller for Reducing the Total Harmonic Distortion (THD) in HVDC

Artificial Neural Network Controller for Reducing the Total Harmonic Distortion (THD) in HVDC

... A neural network based space vector modulation (SVM) of voltage source inverter is ...non-linear neural network controller is proposed to control the space vector pulse width modulation ... See full document

8

Prediction of Rice Diseases Using Convolutional  Neural Network (in Rstudio)

Prediction of Rice Diseases Using Convolutional Neural Network (in Rstudio)

... Optimization Technique (ICACDOT), International Institute of Information Technology, Pune, ...by using Data Classification Technique,” The Eight National Conference on Computing and Information ... See full document

8

Optimum Allocation of Active Filters In A 4-Bus System Using Genetic Algorithm

Optimum Allocation of Active Filters In A 4-Bus System Using Genetic Algorithm

... the harmonic load flow analysis objective function is ...are total harmonic distortion of voltage and current, telephone interference factor of voltage and current, harmonic ... See full document

6

Space Vector Pulse Width Modulation: A Technique to Mitigate the Total Harmonic Distortion

Space Vector Pulse Width Modulation: A Technique to Mitigate the Total Harmonic Distortion

... SVPWM Technique and this paper shows further study and talk about reduction of total harmonic ...Modulation technique, the duty cycles are computed rather than derived through comparison as in ... See full document

7

NEURAL NETWORK BASED APPROACH FOR RECOGNITION FOR DEVANAGIRI CHARACTERS

NEURAL NETWORK BASED APPROACH FOR RECOGNITION FOR DEVANAGIRI CHARACTERS

... the network function is determined largely by the connections between ...a neural network to perform a particular function by adjusting the values of the connections (weights) between ...Commonly ... See full document

11

Deep Auto-Encoder Neural Network for Phishing Website Classification

Deep Auto-Encoder Neural Network for Phishing Website Classification

... auto-encoder technique proposed for website phishing classification ...and reduce the dimension of ...and reduce the dimension of features ...by using SoftMax ... See full document

5

Detection of architectural distortion using multilayer back
propagation neural network

Detection of architectural distortion using multilayer back propagation neural network

... Architectural Distortion. Architectural Distortion may be associated with early diagnosis of breast cancer because even before there is a visible mass, cancer growth can disrupt parenchyma ...Architectural ... See full document

6

Review on Financial Forecasting Using Neural Network and Data Mining Technique

Review on Financial Forecasting Using Neural Network and Data Mining Technique

... The neural networks were trained using more than 21 years of data to predict 1-day future spot rates for several nominal exchange rates, and achieved 58% accuracy for trading the British Pound and 57% ... See full document

5

Comparison of Hybrid Multi Level Inverter Topologies using Equal Area Criteria

Comparison of Hybrid Multi Level Inverter Topologies using Equal Area Criteria

... program using any of the above programming based techniques. The simple technique EAC is implemented to find initial values and these initial switching angles will give minimum THD for any number of ... See full document

6

Simulation and Comparison of Twenty Five Level Diode Clamped & Cascaded H-Bridge Multilevel Inverter

Simulation and Comparison of Twenty Five Level Diode Clamped & Cascaded H-Bridge Multilevel Inverter

... done using modulation control ...and harmonic content in the output voltage of the multilevel inverter depends upon modulation technique used ...selective harmonic elimination (SHE) modulation ... See full document

11

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

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

... Perceptions network is used to estimate the load in short term by using 2 variables; the historical load demand and ...power distribution network by using artificial neural ... See full document

7

Shift Reduce CCG Parsing using Neural Network Models

Shift Reduce CCG Parsing using Neural Network Models

... 2011; Lewis and Steedman, 2014a). While the ma- jority of CCG parsers are chart-based (Clark and Curran, 2007; Lewis and Steedman, 2014a), there has been some work on shift-reduce CCG pars- ing (Zhang and Clark, ... See full document

7

Effective Power Consumption Model for the Network Coded Smart Senor Network

Effective Power Consumption Model for the Network Coded Smart Senor Network

... of network coding is thoroughly described in [5], [7], [8].Various network coding techniques like linear and random network coding are classified in ...of using network coding in the ... See full document

5

Underwater Glider Motion Control Based on Neural Network

Underwater Glider Motion Control Based on Neural Network

... the neural network model build insection 4, select the parameters, battery position and oil mass, as the equilibrium ...the neural network model build in section 4 to find a series of feasible ... See full document

7

Study of Total Harmonic Distortion Using Space Vector Modulation Technique in Permanent Magnet Synchronous Motor

Study of Total Harmonic Distortion Using Space Vector Modulation Technique in Permanent Magnet Synchronous Motor

... In SVM technique, the combined effect of three phases is considered as one vector. Firstly three phases are converted into two phases for simplicity. Here space vectors are expressed as any time varying ... See full document

5

Show all 10000 documents...