From Load to Net Energy Forecasting: Short-Term Residential Forecasting for the Blend of Load and PV Behind the Meter

From Load to Net Energy Forecasting: Short-Term Residential Forecasting for the Blend of Load and PV Behind the Meter

As distribution networks worldwide are experiencing the adoption of residential solar photovoltaic (PV) more than ever, the need for transiting from the concept of load forecasting to net energy forecasting, i.e. predicting the blend of PV and load as a whole, is pressing. While most of the existing...

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Bibliographic Details
Main Authors: S. Ehsan Razavi, Ali Arefi, Gerard Ledwich, Ghavameddin Nourbakhsh, David B. Smith, Manickam Minakshi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning
long short-term memory (LSTM)
recurrent neural networks
residential load forecasting
short-term net energy forecasting
smart meter
Online Access:https://ieeexplore.ieee.org/document/9292948/

Internet

https://ieeexplore.ieee.org/document/9292948/

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