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...

Full description

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

Internet

https://scholarworks.umass.edu/masters_theses_2/994
https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=2032&context=masters_theses_2

Similar Items