Campus Electric Load Forecasting Using Recurrent Neural Networks
Author:
Affiliation:
1. Memorial University of Newfoundland,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10577998/10578066/10578263.pdf?arnumber=10578263
Reference24 articles.
1. A Comprehensive Review of the Load Forecasting Techniques Using Single and Hybrid Predictive Models
2. Forecasting Electric Load by Aggregating Meteorological and History-based Deep Learning Modules
3. A novel asynchronous deep reinforcement learning model with adaptive early forecasting method and reward incentive mechanism for short-term load forecasting
4. Deep learning for estimating building energy consumption
5. An Ensemble Model Based on Machine Learning Methods and Data Preprocessing for Short-Term Electric Load Forecasting
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