A Comparison of Hourly Wattage Prediction using Multiple Regression and Artificial Neural Network and ARIMA

A Comparison of Hourly Wattage Prediction using Multiple Regression and Artificial Neural Network and ARIMA

碩士 === 國立雲林科技大學 === 資訊管理系碩士班 === 100 === In recent years, demand for substitutable energy is increasing. For this reason, people begin to find the best substitutable energy. Among the substitutable energies, solar energy is a typical of its kind. Therefore, research issues relevant to solar energy w...

Full description

Bibliographic Details
Main Authors:	Jun-Yi Wu, 吳俊億
Other Authors:	Chung-Chian Hsu
Format:	Others
Language:	en_US
Published:	2012
Online Access:	http://ndltd.ncl.edu.tw/handle/70958872756743094870

Similar Items

Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction
by: Ayodele Ariyo Adebiyi, et al.
Published: (2014-01-01)

Comparisons on ARIMA Modeling and Artificial Neural Networks Applied to Time Series Prediction
by: Lu, Shuan-Ting, et al.
Published: (2018)

Comparison of ARIMA model and Artificial Neural Network in forecasting gold price
by: Uh, Bing Hong, et al.
Published: (2021)

Combining ARIMA and neural network for prediction of the hourly PM2.5 concentrations in Pingtung city
by: Lin, Po-Han, et al.
Published: (2014)

The comparison of artificial neural networks and ARIMA model in forecasting Taiwan stock market behavior
by: Liu, Yi-Fong, et al.
Published: (1996)

A Comparison of the Predictive Ability of VAR, ARIMA and Artificial Neural Network (ANN) Models: OPEC’s Oil Demand
by: Mostafa Gorgini, et al.
Published: (2012-10-01)

Harmonics Study of Common Low Wattage LED Lamps
by: Ioan Dragoş Deaconu, et al.
Published: (2017-11-01)

Study and Implementation of Low-wattage HID Lamp Drivers
by: Fu-Cheng Wei, et al.
Published: (2004)

Analysis of Indonesia’s Inflation Using ARIMA and Artificial Neural Network
by: Fauzi Insan Estiko, et al.
Published: (2019-05-01)

Predicting Apartment Rental Rates- A Comparison of Multiple Regression Analysis and Artificial Neural Networks
by: Hsiao-Lung Li, et al.
Published: (2002)

Egg hatchability prediction by multiple linear regression and artificial neural networks
by: AC Bolzan, et al.
Published: (2008-06-01)

FORECASTING SAVING DEPOSIT IN MALAYSIAN ISLAMIC BANKING: COMPARISON BETWEEN ARTIFICIAL NEURAL NETWORK AND ARIMA
by: Raditya Sukmana, et al.
Published: (2014-10-01)

Comparison of regression and ARIMA models with neural network models to forecast the daily streamflow of White Clay Creek.
by: Liu, Greg Qi.

A Comparison on the Prediction Performance of Regression Analysis and Artificial Neural Networks
by: Yang Ya-Yuan, et al.
Published: (2002)

Demand Forecasting for the DRAM Market ─ Applications of ARIMA and Artificial Neural Networks
by: Huang Yu-Heng, et al.
Published: (2005)

Assessment of Artificial Neural Networks for Hourly Solar Radiation Prediction
by: Tamer Khatib, et al.
Published: (2012-01-01)

Comparison between Multiple Regression Analysis, Polynomial Regression Analysis, and an Artificial Neural Network for Tensile Strength Prediction of BFRP and GFRP
by: Younghwan Kim, et al.
Published: (2021-08-01)

Predicting the unpredictable - Can Artificial Neural Network replace ARIMA for prediction of the Swedish Stock Market (OMXS30)?
by: Ferreira de Melo Filho, Alberto
Published: (2019)

Prediction of Concrete Properties Using Multiple Linear Regression and Artificial Neural Network
by: Shrikant Charhate, et al.
Published: (2018-07-01)

East African Seasonal Rainfall prediction using multiple linear regression and regression with ARIMA errors models
by: Karama, Alphonse
Published: (2021)

A Comparison of Artificial Neural Networks and ARIMA for the Global Market Forecasting on Blood Glucose Diagnostic Instruments
by: Yao-Pin, Liu, et al.
Published: (2007)

A comparative study on the prediction of the BP artificial neural network model and the ARIMA model in the incidence of AIDS
by: Zeming Li, et al.
Published: (2020-07-01)

A Study on the Thermo-Fluidic Behavior of High-Wattage Power Supply
by: Chia-Hui Chen, et al.
Published: (2009)

A thermal management of a high output wattage power supply
by: Ming-Tang Yang, et al.

Comparison of EEMD-ARIMA, EEMD-BP and EEMD-SVM algorithms for predicting the hourly urban water consumption
by: Liu, X., et al.
Published: (2022)

Research on the Prediction Model of CPU Utilization Based on ARIMA-BP Neural Network
by: Wang Jina, et al.
Published: (2016-01-01)

Investigation of porous medium burner for low wattage solid oxide fuel cell
by: Feng, Ching- Hsiang, et al.
Published: (2016)

Three Dimensional Passive Integrated Electronic Ballast for Low Wattage HID Lamps
by: Jiang, Yan
Published: (2014)

A hybrid approach based on arima and artificial neural networks for crime series forecasting
by: Mohd. Zaki, Mohd. Suhaimi
Published: (2014)

An Empirical Comparison of Multiple Linear Regression and Artificial Neural Network for Concrete Dam Deformation Modelling
by: Mingjun Li, et al.
Published: (2019-01-01)

Artificial Neural Network and Multiple Linear Regression for Flood Prediction in Mohawk River, New York
by: Katerina Tsakiri, et al.
Published: (2018-08-01)

Predicting Naval Aviator Flight Training Performances using Multiple Regression and an Artificial Neural Network
by: Griffin, Glenn R.
Published: (1995)

Prediction of Grinding Work Roll Demand in a Job Shop Company By using Artificial Neural Network and ARIMA Method
by: Muharni Yusraini, et al.
Published: (2018-01-01)

DAM MOVEMENT MODELING BY USING MULTIPLE LINEAR REGRESSION AND ARIMA MODELS
by: Adis Hamzić, et al.
Published: (2020-12-01)

Predicting Risk of Acute Appendicitis: A Comparison of Artificial Neural Network and Logistic Regression Models
by: Leila Shahmoradi, et al.
Published: (2019-01-01)

Comparison of artificial neural network and Cox regression models in survival prediction of gastric cancer patients
by: Akbar Biglarian, et al.
Published: (2010-04-01)

Comparison of Artificial Neural Network and Parametric Regression Models in Survival Prediction of Patients with Gastric Cancer
by: A Biglarian, et al.
Published: (2010-12-01)

Comparison of Forecasting India’s Energy Demand Using an MGM, ARIMA Model, MGM-ARIMA Model, and BP Neural Network Model
by: Feng Jiang, et al.
Published: (2018-06-01)

SYSTEM ANALYSIS OF SCIENTIFIC-AND-TECHNICAL INFORMATION IN AUTOMATIC CONTROL SYSTEM OF POWER UNITS WATTAGE
by: G. T. Kulakov, et al.
Published: (2017-09-01)

Forecasting SO2 Pollution Incidents by means of Elman Artificial Neural Networks and ARIMA Models
by: Antonio Bernardo Sánchez, et al.
Published: (2013-01-01)