Short Term Energy Forecasting for a Microgird Load using LSTM RNN

Short Term Energy Forecasting for a Microgird Load using LSTM RNN

Decentralization of the electric grid can increase resiliency (during natural disasters) and can reduce T&D energy losses and emissions. Microgrids and DERs can enable this to happen. It is important to optimally control microgrids and DERs to extract the greatest economic, environmental and res...

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Bibliographic Details
Main Author:	Soman, Akhil
Format:	Others
Published:	ScholarWorks@UMass Amherst 2020
Subjects:	Energy Forecasting Machine Learning LSTM Neural Networks Time series forecasting linear programming battery optimization Computer Engineering Mechanical Engineering
Online Access:	https://scholarworks.umass.edu/masters_theses_2/994 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=2032&context=masters_theses_2

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