[PDF] Top 20 Design of a Fuzzy Time Series Forecasting Model for Hydro Power Generation
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Design of a Fuzzy Time Series Forecasting Model for Hydro Power Generation
... of forecasting based on fuzzy time series have been developed to provide improved forecasting results to deal with the situation containing higher uncertainty due to large fluctuations ... See full document
5
A Particle Swarm Intelligence Based Fuzzy Time Series Forecasting Model
... a fuzzy time series is assumed to be a fuzzy variable along with associated membership ...on fuzzy relation, and fuzzy inference rules, efficient modeling and forecasting ... See full document
6
An approach to represent time series forecasting via fuzzy numbers
... a Fuzzy logic based Lower and Upper Bound Estimator (FLUBE) based Triangular Fuzzy Number (TFN) representation and generation approach is presented to estimate the uncertainty in the ...FLUBE ... See full document
6
A Modified Approach on Fuzzy Time Series Forecasting
... different time series models have been designed and ...uncertain forecasting based on uncertain observed ...trapezoidal fuzzy numbers are used to further enhance the forecasting ... See full document
11
Forecasting Model For Enrolment Combining Weighted Fuzzy Time Series And Fourier Series Transform
... Fuzzy time series procedures, which have attracted the attention of many researchers in recent years, have a quite wide area of use, such as information technology, economy, environmental sciences ... See full document
6
A Comparative Simulation Study of ARIMA and Fuzzy Time Series Model for Forecasting Time Series Data
... or time consuming to gather and it involves generating data set by specific statistical model or using random ...and Fuzzy Time Series (FTS) model in order to identify the best ... See full document
8
Improved models in fuzzy time series for forecasting
... in time series area of study ...using Fuzzy Time Series in several applications, far too little attention has been paid to propose an appropriate data pre-processing whereby FTS ... See full document
32
An enhanced fuzzy linguistic term generation and representation for time series forecasting
... In this study, we will enhance the performance of the FLUBE based LinGRA by implementing an extra FLS which generates a Center Point Correction Term (CPCT) for the TFN representation. It will be shown that, in comparison ... See full document
8
Online Full Text
... moving-average model, the bilinear model and the nonlinear autoregressive model, are only suitable for the precise number ...electric power load, the prices of oil, stock, or gold, the daily ... See full document
9
Hedge Algebra Approach for Fuzzy Time series To Improve Result Of Time Series Forecasting.
... Fuzzy time series was originally proposed by Song and Chissom [1] and it has been applied to forecast the enrollments at University of Alabama [2, ...using fuzzy time series to ... See full document
11
Study on Fuzzy Time Invariant Series Models for Crop Production Forecasting
... of fuzzy time series; time invariant model development and its implementation in forecasting the agricultural ...the forecasting of Lahi crop production of University ... See full document
13
Study On Fuzzy Time Invariant Series Models For Crop Production Forecasting
... production forecasting of the Lahi crop is based on the 21 years (1996-97 to 2015-2016) time series production data of the University farm Step ...the time series ... See full document
13
Fuzzy Logic Classification Approach for Prediction of Patient Data in Health Care System using Data Mining Analysis
... Time series occur in various domains in great number and ...in time; or additional advanced, they'll be extremely three-dimensional, ...the time of the transaction, a customer ID and bought ... See full document
8
The Intelligent Forecasting Model of Time Series
... automatic forecasting algorithm which optimizes the traditional ARIMA model by "jointly" estimating forecasting parameters for several time series ...single time ... See full document
9
Short-Term Forecast of Wind Speed through Mathematical Models
... models for forecasting time series applied in wind generation based on the combination of time series 828. models with artificial neural networks[r] ... See full document
28
A Hybrid Forecasting Model Based On Automatic Clustering Algorithm And Fuzzy Time Series
... the time-invariant FTS and the time-variant FTS model which use the max–min operations to forecast the enrolments of the University of ...FTS model by introducing a more efficient arithmetic ... See full document
7
Design of Fuzzy controller and supervisor for Load Frequency control of Micro Hydro Power Plant
... on hydro and micro-hydro power plant. Micro-hydro power plants (MHPP) are of big interest in their easiest installation and their ...hydraulic power in moving water into ... See full document
5
A Proposed Model For Forecasting Stock Markets Based On Clustering Algorithm And Fuzzy Time Series
... of fuzzy time series has been widely applied to many various fields such as enrollments, stocks market, weather, population growth prediction and so ...used fuzzy time series to ... See full document
6
DEVELOPMENT OF EFFECTIVE TIME SERIES FORECASTING MODEL
... the forecasting models (autoregressive model, polynomial, exponential, linear ones, Brown’s linear model, ...same model in different blocks of this layer have the same serial ... See full document
10
Fuzzy Time Series Method for Forecasting Taiwan Export Data
... the time interval [0,T] assumes any integer belonging to this ...fixed time moment t=s, the value of function, beginning from this moment, is generally determined by the values of function arguments at all ... See full document
6
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