Transportation Energy Demand Modeling with Artificial Neural Networks

نویسندگان

چکیده

Energy demands of countries are changing rapidly in parallel with development, industrialization, urbanization, the spread technology, prosperity, and population growth. use transport sector last few years, Turkey has shown a significant increase. Therefore, energy management predicting critically important to environmental safety upcoming economic well-being. In recent studies determine demand have accelerated. Addition, order estimate levels most accurate way, appropriate model should be selected. this study, different models for Turkey's by using artificial neural networks been established. Population, oil prices, gross domestic product, ton-km, vehicle-km, passenger-km selected as parameters considering 1975 2016 data. The best is tried obtained which used together. was established price, population, ton-km it determined that had lowest error highest R2 values.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

New Method of Artificial Neural Networks (ANN) in Modeling Broiler Production Energy Index in Alborz Province

During the past few years, modeling in agriculture has attracted considerable attention. New modeling methods including neural networks are employed in various industries, and it is necessary that their use in agriculture be also considered. This research addressed the trend of energy use in broiler farms in Alborz Province and sought to model the trend of energy consumption and production in t...

متن کامل

New Method of Artificial Neural Networks (ANN) in Modeling Broiler Production Energy Index in Alborz Province

During the past few years, modeling in agriculture has attracted considerable attention. New modeling methods including neural networks are employed in various industries, and it is necessary that their use in agriculture be also considered. This research addressed the trend of energy use in broiler farms in Alborz Province and sought to model the trend of energy consumption and production in t...

متن کامل

Modeling of Solar Energy for Malaysia Using Artificial Neural Networks

This paper presents a solar energy prediction method using artificial neural networks (ANNs). An ANN predicts a clearness index that is used to calculate global solar irradiation. The ANN model is based on the feed forward multilayer perception model with four inputs and one output. The inputs are latitude, longitude, day number and sunshine ratio; the output is the clearness index. Data from 2...

متن کامل

new method of artificial neural networks (ann) in modeling broiler production energy index in alborz province

during the past few years, modeling in agriculture has attracted considerable attention. new modeling methods including neural networks are employed in various industries, and it is necessary that their use in agriculture be also considered. this research addressed the trend of energy use in broiler farms in alborz province and sought to model the trend of energy consumption and production in t...

متن کامل

Analysis and Modeling of Yield, CO2 Emissions, and Energy for Basil Production in Iran using Artificial Neural Networks

The present study attempts to investigate the potential relationship between input energies, performance production of greenhouse basil, and greenhouse gases emitted from this product. The data were collected from 24 greenhouses using a questionnaire and verbal interaction with farmers. Results of the study showed that the total input energy and total output energy for basil production were 119...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: I?d?r üniversitesi fen bilimleri enstitüsü dergisi

سال: 2021

ISSN: ['2146-0574']

DOI: https://doi.org/10.21597/jist.911721