Open AccessInfluence of the price of electricity for the industry on the consumption in the economic sector in Bulgaria
Author(s) -
Kostadin Yotov,
Emil Hadzhikolev,
Stanka Hadzhikoleva
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1031/1/012084
Subject(s) - electricity , consumption (sociology) , environmental economics , production (economics) , economics , industrial organization , energy consumption , task (project management) , artificial neural network , electricity price , business , microeconomics , computer science , engineering , artificial intelligence , social science , management , sociology , electrical engineering
Forecasting electricity consumption is extremely important for the planning and management of a country’s electricity system. It is an important factor for the effective planning of the production facilities operation, the future exports or imports, the behavior and direction of energy flows both in the country and in the connected international networks. Electricity consumption depends on many macroeconomic and demographic indicators, social parameters, climate conditions, etc. Their study and prediction with standard mathematical methods is a complex task. The article presents a study conducted using one of the most popular artificial intelligence techniques, namely – neural networks. Two models of neural networks have been created. One models the changes in the price of electricity, and the second – the dynamics of electricity consumption depending on its price.