[ad_1] <br><div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@iegeoguz/case-study-probabilistic-forecasting-for-the-uk-national-grid-0ecc03a5e9a6?source=rss------machine_learning-5"><img src="https://cdn-images-1.medium.com/max/2600/1*xN_CMkqLhybe1GMpwsCNGQ.png" width="2816"></a></p><p class="medium-feed-snippet">Why I ditched standard LSTMs for Google’s Temporal Fusion Transformer (TFT) to handle renewable energy volatility.</p><p class="medium-feed-link"><a href="https://medium.com/@iegeoguz/case-study-probabilistic-forecasting-for-the-uk-national-grid-0ecc03a5e9a6?source=rss------machine_learning-5">Continue reading on Medium »</a></p></div> <br>[ad_2] <br><a href="https://medium.com/@iegeoguz/case-study-probabilistic-forecasting-for-the-uk-national-grid-0ecc03a5e9a6?source=rss------machine_learning-5">Source link </a>
