[PDF] Top 20 Structure combination of forecasting models with application in the energy sector
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Structure combination of forecasting models with application in the energy sector
... ferent models or sources (Newbold & Granger, 1974; Clemen, 1989; Timmermann, ...internal structure parameters of NN models as an approach to combine their forecasts via ...the structure ... See full document
324
A "HURST COEFFICIENT" ESTIMATION WITH WAVELETS: APPLICATION TO THE ENERGY SECTOR
... statistical models for improved index forecasting and derivatives ...figure: energy prices are hard to predict since that there is a permanent change in the ... See full document
15
Joint Forecast Combination of Macroeconomic Aggregates and Their Components
... forecast combination to include an aggregate and its components in the same ...aggregate forecasting accuracy by using relevant disaggregate information and increasing disaggregate forecasting ... See full document
44
Application of Arima and Garch models in forecasting crude oil prices
... Since crude oil market is highly volatile, the estimation of the time series model must be able to detect its volatility. We have to determine the precisely Box- Jenkins and GARCH models when forecasting ... See full document
25
Model Building and Forecasting of Bank Credit to Public and Private Sector
... Forecasting is a tool to anticipate future behavior of variables based upon past data. Researchers have used this tool frequently for the said purpose. It has been used even in a higher number of researches in the ... See full document
5
A Markov Chain Grey Forecasting Model: A Case Study of Energy Demand of Industry Sector in Iran
... of energy demand of industry sector in ...the energy demand of industry ...annual energy demand of industry sector in Iran up to the year ...the energy supply of industry ... See full document
6
FORECASTING ENERGY CONSUMPTION IN SHORT-TERM AND LONG-TERM PERIOD BY USING ARIMAX MODEL IN THE CONSTRUCTION AND MATERIALS SECTOR IN THAILAND
... From the study with the use of ARIMAX Model, it has found that model 1 with the fore- casting period of 10 years, 2017–2026, gives the rate of energy consumption increased by 18.09%, while model 2, forecasted in ... See full document
8
Green bond considerations in the renewable energy sector
... Bonds issued by Indian Banks, Renewable Energy Companies and Financial Institutions are trying their best to develop it as a niche market. However, encouragement by Government has to be brought for green bonds ... See full document
9
Forecasting Stock Prices With Linear And Nonlinear Settings: A Comparison
... linear models are considered a good estimation technique to study time series processes, it is important to test the non-linearity and non-gaussianity of the ...nonlinear models to reduce the residual sum ... See full document
10
The Strength of the Bus Structure with the Determination of Critical Points
... monocock structure of an airport bus is a very demanding product as regards its ...the application of the FEA (Finite Element Analysis ) method the allegedly critical points of the framework were ... See full document
7
The application of click chemistry in the synthesis of agents with anticancer activity
... wide application in medicinal chemistry at this ...narrow application that mostly focuses on the reactions between terminal acetylenes and azides, the single type of catalyst used in the reaction, and the ... See full document
15
Forecasting Energy Price and Consumption for Iranian Industrial Sectors Using ANN and ANFIS
... Forecasting energy price and consumption is essential in making effective managerial decisions and ...term forecasting of energy price and consumption in Iranian industrial sector using ... See full document
30
Research of combination forecasting model based on improved analytic hierarchy process
... terms of robustness, the minimum DR of the combined model is 2.3, the maximum is 2.93, and the average DR is 2.53, which is lower than all the single models, indi- cating that the combined model is least affected ... See full document
8
Efficacy of vildagliptin in combination with insulin in patients with type 2 diabetes and severe renal impairment
... The overall adverse event profile was also similar in the two treatment groups, and there were no notable differences in the subgroup of insulin-treated patients with severe renal impairment compared with the overall ... See full document
8
The Importance of Energy Sources in the Prevention of Environmental Pollution
... on energy production following a different path from the industrial ...growing energy technologies, production and alternatives, demand has continued to increase day by ... See full document
6
Optimal Forecasting of Noncausal Autoregressive Time Series
... when forecasting one period ahead, whereas at greater forecast horizons, its relative performance re- mains virtually unchanged and at the eight-period horizon even ... See full document
31
Forecasting Simulation with ARIMA and Combination of Stevenson-Porter-Cheng Fuzzy Time Series
... a combination of methods in Stevenson-Porter-Cheng Fuzzy Time Series (FTS) based on 100 replicates on 100 generated data following the model of ARIMA (1,0,0) or AR ...a combination between 3 data generation ... See full document
6
A Simple Regression Model for Electrical Energy Forecasting
... total energy consumption of any country ...electrical energy demand in the long- term forecasting model, they are not readily available for the future ...term forecasting model suggested in ... See full document
5
Evaluating the Effectiveness of 5S Implementation in the Industrial Sector
... Over the past decades, 5S practice is commonly used among Japanese organizations to improve the workplace environment, enhance human capacity and increase productivity. Since Takashi Osada introduced it in the early ... See full document
5
Classification of hydro meteorological conditions and multiple artificial neural networks for streamflow forecasting
... An extensive review of the potentiality of ANNs in hy- drological modeling was given, for example, by the ASCE Task Committee (2000b) and by Maier and Dandy (2000). In the majority of the applications of river flow ... See full document
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