Comparing Various Combined Techniques at Seasonal Autoregressive Integrated Moving Average (SARIMA) for Electrical Load Forecasting-Reference-Cited by-同舟云学术

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Comparing Various Combined Techniques at Seasonal Autoregressive Integrated Moving Average (SARIMA) for Electrical Load Forecasting

Published:2023-07-26 Issue: Volume: Page:
ISSN:
Container-title:2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)
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Author:

Silfiani Mega¹,Aprillia Happy²,Fitriani Yustina³

Affiliation:

1. Institut Teknologi Kalimantan,Department of Statistics,Balikpapan,Indonesia

2. Institut Teknologi Kalimantan,Department of Electrical Engineering,Balikpapan,Indonesia

3. Institut Teknologi Kalimantan,Department of Acturial Science,Balikpapan,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10220947/10220436/10221130.pdf?arnumber=10221130

Reference26 articles.

1. Short-term offshore wind power forecasting - A hybrid model based on Discrete Wavelet Transform (DWT), Seasonal Autoregressive Integrated Moving Average (SARIMA), and deep-learning-based Long Short-Term Memory (LSTM)

2. Predictive Analytics for Demand Forecasting – A Comparison of SARIMA and LSTM in Retail SCM

3. Artificial neural network ensembles and their application in pooled flood frequency analysis

4. Forecasting the dynamics of cumulative COVID-19 cases (confirmed, recovered and deaths) for top-16 countries using statistical machine learning models: Auto-Regressive Integrated Moving Average (ARIMA) and Seasonal Auto-Regressive Integrated Moving Average (SARIMA);arunkumar;Applied Soft Computing,2021

5. Price Prediction Using Time-Series Algorithms for Stocks Listed on Bursa Malaysia

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1. Predictive Modeling of Vicat Softening Point for Low-Density Polyethylene Using GBM, XGBoost and AdaBoost: A Comparative Analysis;Lecture Notes in Networks and Systems;2024

2. Improving Coal Commodity Stock Price Forecasting Using Combined Linear Models via Artificial Neural Network;2023 Sixth International Conference on Vocational Education and Electrical Engineering (ICVEE);2023-10-14

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