Book Chapter

·2023

Electricity Demand Prediction: Case of Turkey

Ezgi Polat , Nezir Aydın YTU , Erkan Işıklı

Applied innovation and technology management

No open-access abstract is available for this article. Use the DOI link on the right to read the full text.

Keywords

Autoregressive integrated moving average Computer science Artificial neural network Electricity generation Electricity Autoregressive model Demand forecasting Econometrics Operations research Time series Artificial intelligence Engineering Machine learning Power (physics) Economics

Subject Areas

Energy Load and Power Forecasting ·Electrical and Electronic Engineering ·Physical Sciences
Air Quality Monitoring and Forecasting ·Environmental Engineering ·Physical Sciences
Grey System Theory Applications ·Management Science and Operations Research ·Social Sciences

OpenAlex SDG Match

SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).

Affordable and clean energy 60%