Quantile regression neural network is used for probability prediction

xianxiaogao: <p>Hello, brothers</p>
<p>As a beginner in photovoltaic prediction, I used the layers neural network to make probability prediction, which produced the result as shown in the figure. I found that the prediction result fluctuated frequently, as did the generated probability interval. What might be the cause?</p>
<p>Input time step = one day PV</p>
<p>Output time step =1<br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/6/e/6e665f2a3bbd3e73131321106064e2ba07e867e7.png" data-download-href="https://discuss.pytorch.org/uploads/default/6e665f2a3bbd3e73131321106064e2ba07e867e7" title="1"><img src="https://discuss.pytorch.org/uploads/default/optimized/3X/6/e/6e665f2a3bbd3e73131321106064e2ba07e867e7_2_690x230.png" alt="1" data-base62-sha1="fKDQPO02K10pXupkTruUXix03hJ" width="690" height="230" srcset="https://discuss.pytorch.org/uploads/default/optimized/3X/6/e/6e665f2a3bbd3e73131321106064e2ba07e867e7_2_690x230.png, https://discuss.pytorch.org/uploads/default/optimized/3X/6/e/6e665f2a3bbd3e73131321106064e2ba07e867e7_2_1035x345.png 1.5x, https://discuss.pytorch.org/uploads/default/original/3X/6/e/6e665f2a3bbd3e73131321106064e2ba07e867e7.png 2x" data-dominant-color="F2F1F0"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">1</span><span class="informations">1280×427 123 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>

ptrblck: <p>You did not attach any images, just the “Uploading…” message.</p>

xianxiaogao: <p>Thank you for reminding me. It is my first time to use the forum and I am not familiar with it. I have uploaded pictures。</p>

xianxiaogao: <p>And TCN (time convolutional neural networks) why does it work this way, what could be the reason for that。<br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/0/4/0441cedc4ca373f593b5b2bb73861641868ed530.png" data-download-href="https://discuss.pytorch.org/uploads/default/0441cedc4ca373f593b5b2bb73861641868ed530" title="2"><img src="https://discuss.pytorch.org/uploads/default/optimized/3X/0/4/0441cedc4ca373f593b5b2bb73861641868ed530_2_689x260.png" alt="2" data-base62-sha1="BETZ2AAIt3G4zi2O9ZVBEopcHu" width="689" height="260" srcset="https://discuss.pytorch.org/uploads/default/optimized/3X/0/4/0441cedc4ca373f593b5b2bb73861641868ed530_2_689x260.png, https://discuss.pytorch.org/uploads/default/optimized/3X/0/4/0441cedc4ca373f593b5b2bb73861641868ed530_2_1033x390.png 1.5x, https://discuss.pytorch.org/uploads/default/original/3X/0/4/0441cedc4ca373f593b5b2bb73861641868ed530.png 2x" data-dominant-color="EFEFEE"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">2</span><span class="informations">1292×487 143 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>