matlab code forecasting using pso

Abstract

Load forecasting has become a very crucial technique for the efficient functioning of the power system. This paper presents a methodology for the short term load forecasting problem using the similar day concept combined with fuzzy logic approach and particle swarm optimization. To obtain the next-day load forecast, fuzzy logic is used to modify the load curves of the selected similar days of the forecast previous day by generating the correction factors for them. These correction factors are then ap ....etc

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Abstract

This paper proposes particle swarm optimization (PSO) combined with Lagrange relaxation method (LR) for solving unit commitment (UC). The proposed approach employs PSO algorithm for optimal settings of Lagrange multipliers. The feasibility of the proposed method is demonstrated for 4 and 10-unit systems, respectively. The test results are compared with those obtained by LR, genetic algorithm (GA) and hybrid particle swarm optimization (HPSO) in terms of solution quality. Simulation results show that the proposed method can provide a b ....etc

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Hello. i need pso coding for unit commitment. this is my project in uni. please help me. ....etc

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monte carlo localization matlab source

Monte Carlo Localization, also known as Particle Filtering, is a relatively new approach to the problem of robot localization - estimating a robot's location in a known environment, given its movements and sensor reading over time. In this project you are to solve the global localization problem, where the robot does not know its starting position but needs to figure out where it is. (This is in contrast to the position tracking problem, where the robot knows its starting position and just need to accommo ....etc

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wireless sensor networks can be used in many fields of application. The location of the sensor nodes, which is the basis for other applications, is to determine the auto-position using some system of location, according to the anchor nodes. In this article, an in-depth analysis for the approximate test point in triangulation (APIT) algorithm is made, and an improvement of it is proposed. The analysis shows: compared to the original, the improvement algorithm reduces the probabilities of error In-To-Out and Out - To - In the original error and t ....etc

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matlab coding for pso implementation in pss

% goplotpso.m
% default plotting script used in PSO functions
%
% this script is not a function,
% it is a plugin for the main PSO routine (pso_Trelea_vectorized)
% so it shares all the same variables, be careful with variable names
% when making your own plugin

% Brian Birge
% Rev 2.0
% 3/1/06

% setup figure, change this for your own machine
clf
set(gcf,'Position',); % this is the computer dependent part
%set(gcf,'Position',);
set(gcf,'Doublebuffer','on');

....etc

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Time-dispersive channels can cause intersymbol interference (ISI), a form of distortion that causes symbols to overlap and become indistinguishable by the receiver. For example, in a multipath scattering environment, the receiver sees delayed versions of a symbol transmission, which can interfere with other symbol transmissions. An equalizer attempts to mitigate ISI and improve receiver performance. Communications System Toolbox provides equalization capabilities using one or more Simulink blocks, System objects, or MATLAB functions.

This ....etc

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To get full information or details of where can i get matlab code for optimal placement of dg using pso please have a look on the pages

http://slidesharejraysbhadoriya/optimal-placement-of-distributed-generation

if you again feel trouble on where can i get matlab code for optimal placement of dg using pso please reply in that page and ask specific fields in where can i get matlab code for optimal placement of dg using pso ....etc

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SECURE WIRELESS SENSOR NETWORKS - ROBUST OF WSN ATTACKS AND SECURE LOCALIZATION SCHEME
ABSTRACT
The application of wireless sensor networks (WSN), sensors are deployed un-tethered in hostile environments. For location aware WSN applications, it is essential to ensure that sensors can determine their location, even in the presence of malicious adversaries. Our paper mainly projects the problem of enabling sensors of WSN to determine their location in an un-trusted environment. The localization schemes based ....etc

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Hello There. I would like to have a look at the MATLAB code for the Hybrid GPS GSM localization of automobile tracking using Kalman Filter. ....etc

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