Analysis of SARIMA Models for Forecasting Electricity Demand-Reference-Cited by-同舟云学术

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Analysis of SARIMA Models for Forecasting Electricity Demand

Published:2024-05-27 Issue: Volume:12746 Page:767-771
ISSN:
Container-title:2024 12th International Conference on Smart Grid (icSmartGrid)
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Author:

Aksöz Ahmet¹,Oyucu Saadin²,Biçer Emre³,Bayındır Ramazan⁴

Affiliation:

1. Sivas Cumhuriyet University,Mobilers Team,Sivas,Türkiye

2. Faculty of Engineering,Department of Computer Engineering,Adıyaman,Türkiye

3. Sivas University of Science and Technology,Faculty of Engineering and Natural Sciences, Battery Research Laboratory,Sivas,Türkiye

4. Gazi University,Faculty of Technology, Electrical and Electronics Engineering Department,Ankara,Türkiye

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10577998/10578066/10578181.pdf?arnumber=10578181

Reference27 articles.

1. Electricity load forecasting using clustering and ARIMA model for energy management in buildings

2. Analysis and Forecast of Energy Demand in Senegal with a SARIMA Model and an LSTM Neural Network

3. Short-term modeling of carbon price based on fuel and energy determinants in EU ETS

4. Predicting Primary Energy Consumption Using Hybrid ARIMA and GA-SVR Based on EEMD Decomposition

5. Comparative Analysis of Commonly Used Machine Learning Approaches for Li-Ion Battery Performance Prediction and Management in Electric Vehicles

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