---
# System prepended metadata

title: Results

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# Results

## Plan of poster
- [ ] Same style
- [ ] How to combined two parts?

## Transfer Learning

D{x} stands for the dataset with x0% PV penetration.
M{x} stands for the model trained on D{x}.

* M2 on D1 (PV ratio is 10%):

![](https://hackmd.io/_uploads/r1J-qpDO5.png)

* M2 on D2

![](https://hackmd.io/_uploads/BJkB9av_9.png)

* M2 on D3

![](https://hackmd.io/_uploads/S13ScawOc.png)

* **M3 on D3**

![](https://hackmd.io/_uploads/S1nkoTvd5.png)

* M2 on D4

![](https://hackmd.io/_uploads/r1hP9TDO5.png)

* M2 on D5

![](https://hackmd.io/_uploads/HyJt9pvd5.png)

* **M5 on D5**

![](https://hackmd.io/_uploads/B1BDhav_c.png)


## Adversarial Training

Attack setup (for both training and testing): $\epsilon=0.5$ (the input is normalised), $\alpha=0.1$, $k=20$ Pojected Gradient Descent with $l_\infty$ norm ($PGD_{\infty}$).

![](https://hackmd.io/_uploads/HkAaxGddq.png)

![](https://hackmd.io/_uploads/HkXy-Gduc.png)

![](https://hackmd.io/_uploads/Hy_JG4_u9.png)

![](https://hackmd.io/_uploads/SJNiGEd_5.png)

![](https://hackmd.io/_uploads/H1Doa4u_c.png)




