ARTIFICIAL INTELLIGENCE - BASED TIME SERIES MODEL FOR NETWORK LOAD FORECASTING
Abstract
This paper examines the application of time series models for network load forecasting based on artificial intelligence. Traditional statistical methods and deep learning models are comparatively analyzed, and the effectiveness of the LSTM - based approach is scientifically evaluated [2].
Fields of Study & Subjects
Energy Load and Power Forecasting
Forecasting Techniques and Applications
Traffic Prediction and Management Techniques
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 1 March 2026
- Language
- EN
- Document type
- Dataset