The Modeling and Comparison of GMDH and RBF Artificial Neural Networks in Forecasting Consumption of Petroleum Products in the Agricultural Sector

M Abbasian, A Sardar Shahraki… - Iranian Journal of …, 2019 - journals.shirazu.ac.ir
Energy plays a significant role in today's developing societies. The role of energy demands
to make decisions and policy with regard to its production, distribution, and supply. The vital …

مدل سازی و مقایسه شبکه های عصبی مصنوعی GMDH و RBF در پیش بینی مصرف فرآورده های نفتی در بخش کشاورزی

مجتبی عباسیان, علی سردار شهرکی… - (Iranian Journal of …, 2019‎ - ijes.shirazu.ac.ir
انرژی در جوامع در حال توسعه نقش مهمی دارد. نقش تقاضای انرژی در تصمیم گیری و سیاست گذاری
بر تولید، توزیع و عرضه آن و اهمیت حیاتی انرژی، به ویژه سوخت های فسیلی، یک عامل موثر بر …

[PDF][PDF] Simulation of Electricity Demand Function in Agricultural Sector: An Application of Genetic Algorithm (Case Study: Electricity-Fed Wells of Iran)

H Sadeghi, SK Astaneh, M Hajian… - Current World …, 2014 - cwejournal.org
Due to several problems arisen from consumption of gas oil, it is necessary to electricity
substitute fossil fuels in agriculture wells in Iran. Problems such as lack of opportune and …

[PDF][PDF] Iranian Journal of Economic Studies

L Model - Iranian Journal of Economic Studies, 2017 - journals.shirazu.ac.ir
The deregulation process and novel ways of conducting transactions in the electricity market
have led to price uncertainty for electricity producers and consumers. The forecast of …