Comparison of Retraining Schedules in Ensemble Models for Enhanced Day-Ahead Electricity Net-Demand Predictions
Author:
Affiliation:
1. L-Universita ta Malta,Department of Electrical Engineering,Msida,Malta
Funder
Malta Council for Science and Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10608458/10608460/10608744.pdf?arnumber=10608744
Reference19 articles.
1. A comprehensive review on deep learning approaches for short-term load forecasting
2. A Data Driven Approach for Day Ahead Short Term Load Forecasting
3. A Comparative Analysis of Machine Learning Approaches for Short-/Long-Term Electricity Load Forecasting in Cyprus
4. Comparative Analysis of Load Forecasting Models for Varying Time Horizons and Load Aggregation Levels
5. Direct short-term net load forecasting in renewable integrated microgrids using machine learning: A comparative assessment
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