Prosumers Energy Consumption Forecasting: Leveraging LSTM and XGBOOST with Spatial and Weather Features
Author:
Affiliation:
1. University of Amsterdam,Amsterdam,the Netherlands
2. Eindhoven University of Technology,Eindhoven,the Netherlands
3. Delft University of Technology,Delft,the Netherlands
4. Spatial Eye B.V,Culemborg,the Netherlands
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10406304/10407103/10408083.pdf?arnumber=10408083
Reference10 articles.
1. The prosumers and the grid
2. Prosumer Communities and Relationships in Smart Grids: A Literature Review, Evolution and Future Directions
3. Predicting residential energy consumption using CNN-LSTM neural networks
4. Smart Meter Privacy: A Theoretical Framework
5. Do not snoop my habits: preserving privacy in the smart grid
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