Skip to content
/ MachineLearning_NILM Public

Undergraduate research by Yuzhe Lim in Spring 2019. Field of research: Deep Neural Networks application on NILM (Nonintrusive load monitoring) for Energy Disaggregation

32 stars 4 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

louisyuzhe/MachineLearning_NILM

BranchesTags

Repository files navigation

Neural NILM: Deep Neural Networks Applied to Energy Disaggregation

Field of research: Machine learning approaches for NILM (Nonintrusive load monitoring)

Presented by: Yuzhe Lim

Slide 1

Slide 2

Slide 3

Slide 4

Slide 5

Slide 6

Slide 7

Slide 8

Slide 9

Slide 10

Slide 11

Slide 12

Slide 13

Slide 14

Slide 15

Slide 16

Slide 17

Slide 18

Slide 19

Slide 20

Slide 21

Slide 22

Slide 23

Slide 24

Slide 25

Slide 26

Slide 27

Slide 28

Slide 29

Slide 30

Slide 31

Slide 32

Slide 33

About

Undergraduate research by Yuzhe Lim in Spring 2019. Field of research: Deep Neural Networks application on NILM (Nonintrusive load monitoring) for Energy Disaggregation

Topics

machine-learning deep-neural-networks deep resnet nilm energy-disaggregation denoising-autoencoders lstm-neural-networks

Resources

Readme
Activity

Stars

32 stars

Watchers

3 watching

Forks

4 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages