An Electricity Price Forecasting Model by Hybrid Structured Deep Neural Networks
Author:
Publisher
MDPI AG
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development
Link
http://www.mdpi.com/2071-1050/10/4/1280/pdf
Reference43 articles.
1. Recent advances in electricity price forecasting: A review of probabilistic forecasting
2. Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks
3. On the importance of the long-term seasonal component in day-ahead electricity price forecasting
4. A new feature selection and hybrid forecast engine for day-ahead price forecasting of electricity markets
5. A New Feature Selection Technique for Load and Price Forecast of Electrical Power Systems
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