[PDF] Top 20 Multiple linear regression and neural network for electric load forecasting
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Multiple linear regression and neural network for electric load forecasting
... load flow studies and likelihood analysis to calculate the requirement of generators, to determine line flows and to ensure that the system continues to operate reliably (Taylor and McSharry, 2007). In addition, ... See full document
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COMPARATIVE ASSESSMENT OF RADIAL BASIS FUNCTION NEURAL NETWORK AND MULTIPLE LINEAR REGRESSION APPLICATION TO TRIP GENERATION MODELLING IN AKURE, NIGERIA
... Artificial Neural Networks. Applications of Artificial Neural Networks have produced excellent results in many areas of ...research. Neural Networks have become well known as ‘universal ...Function ... See full document
14
Application of Local Linear Wavelet Neural Network in Short Term Electric Load Forecasting
... Local Linear Wavelet Neural Network (LLWNN) has not yet been tested for electric load ...for electric load prediction of the Ontario electricity ...of electric ... See full document
6
Analysis of Tanzanian Energy Demand using Artificial Neural Network and Multiple Linear Regression
... artificial neural network-multilayer perceptron (ANN- MLP) and multiple linear regression (MLR) techniques for the analysis of energy demand in ... See full document
8
Comparative Analysis of Multiple Linear Regression and Artificial Neural Network for Predicting Friction and Wear of Automotive Brake Pads Produced from Palm Kernel Shell
... The data needed for the modelling of the produced brake pad samples were tested using Inertia dynamometer located at Anambra State Motor Manufacturing Company (ANAMMCO) Nigeria. The equipment was utilized to generate ... See full document
9
Application of Artificial Neural Network And Multiple Linear Regression Model for Forecasting of Container Throughput In APM Terminals Apapa Port A Comparative Approach
... with forecasting of container throughput volume in APM Terminals Apapa Lagos, ...Two forecasting methods were compared, namely linear regression model and Artificial Neural ... See full document
16
Modeling and Prediction of Changes in Anzali Pond Using Multiple Linear Regression and Neural Network
... using linear regression and GMDH neural network methods and compare their prediction ...logic, neural networks and genetic algorithm are good techniques in solving complex ... See full document
6
A Three-Step Neural Network Artificial Intelligence Modeling Approach for Time, Productivity and Costs Prediction: A Case Study in Italian Forestry
... A multiple linear regression model (MLR) and artificial neural network (ANN) have been carried out to predict gross time, productivity and costs estimation in a series of qualitative ... See full document
13
Risk Prediction Assessment In Life Insurance Company Through Dimensionality
... , Linear Discriminant Analysis (LDA), Correlation-Based Feature Selection (CFS), ...Artificial Neural Network, Multiple Linear Regression, Random Tree and the proposed Random ... See full document
5
Traffic Flow Condition Classification for Short Sections Using Single Microwave Sensor
... used multiple sensors to classify traffic condition whereas our work uses only single microwave ...extended Multiple Linear Regression classification with our new approach of Estimating with ... See full document
13
Computing air demand using the Takagi–Sugeno model for dam outlets
... identify linear and non-linear parameters in the ANFIS ...Levenberg-Marquardt neural network (LMNN) and multiple linear regression (MLR) models were also built using the ... See full document
17
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... and regression step-by-step using Microsoft ...artificial neural network with multiple linear regression in prediction soil pore size distribution was examined by [13, 14] they ... See full document
7
Transformer’s Load Forecasting to Find the Transformer Usage Capacity with Adaptive Neuro-Fuzzy Inference System Method
... of electric load forecasting using Adaptive Neuro-Fuzzy Inference System (ANFIS) method is better than Artificial Neural Network (ANN) method, this is indicated by MAPE resulting from ... See full document
7
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... as Multiple Linear Regression, Artificial Neural Network, Grey Prediction method and Logistic Curve Method which have different applicable environments and limits ... See full document
5
Linear and Neural Network-based Models for Short-Term Heat Load Forecasting
... of forecasting models for heat demand a day in advance in a district heating system is discussed in this ...week, linear trend, seasonal cycle) were applied in our forecasting ...Various ... See full document
8
Short Term Electrical Load Forecasting for Iraqi Power System based on Multiple Linear Regression Method
... Multiple linear regressions are the earliest technique of load- forecasting ...Here, load is expressed as a function of explanatory weather and non-weather variables that influence the ... See full document
5
An Effective Artificial Neural Network based Power Load Prediction Algorithm
... and forecasting energy consumption know no ...system forecasting method using machine learning methods such as Artificial Neural Networks (ANN) is a prospective approach for such ...years, ... See full document
7
Model of Electric Power Load by Adaptive Neural Network
... peak load, to ensure that sufficient power can be delivered to the customers whenever they need ...Therefore, Electric Power Load Forecasting (EPLF) is a vital process in the planning of ... See full document
6
Different Methods of Long-Term Electric Load Demand Forecasting a Comprehensive Review
... traditional neural network ...nonlinear regression estimation problems [16]. Recurrent neural network (RNN) is one kind of SVM which is based on the main concept in which every unit is ... See full document
11
Evolutionary Load Forecasting using Artificial Neural Network
... and load data is stored in the excel ...the network for training or prediction ...that neural networks are repeatedly vulnerable to raw data, it’s tremendously vital that data are scaled (classically ... See full document
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