TensorFlow 2.0 Tutorial for Beginners 19 - Multi Step Prediction using LSTM | Time Series Prediction

In this video we will learn about Multi step prediction using LSTM. Power outage accidents will cause huge economic loss to the social economy. Therefore, it is very important to predict power consumption. Given the rise of smart electricity meters and the wide adoption of electricity generation technology like solar panels, there is a wealth of electricity usage data available

The data was collected between December 2006 and November 2010 and observations of power consumption within the household were collected every minute.

🔊 Watch till last for a detailed description
02:58 Understanding dataset and problem statement
20:56 Prepare power consumption for each day
24:16 Exploratory data analysis
30:40 Exploring active power consumption for each year
36:37 Power consumption distribution with histogram
01:03:27 Prepare test dataset and test LSTM model
01:08:44 Evaluate the model

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[pepecalixto]

This is my first attempt to study AI. Recently I achived collecting data energy for large buildings without any software installed in the property. This tutorial was extremely helpful to understand the basics of predictons. I will love a second part going deep into the last section of this video, i felt a little bit lost but is my lack of experience in this subjects. Kudos Sir!

[meowrx]

super helpful and i actually love ur voice :}

[sashivideos]

Thank you so much..!!! one of the bestest detailed explanation available !!!

[solomonsackey]

Nice tutorial but I don't understand why almost everyone just do prediction and compare to the actual data. But this is not necessary without forecasting the future values. Forecasting future values are the most important not just predictions

[markushartner]

What a great tutorial!!!
Thank you for all your efforts and dedication.

[syednazirhussain]

Maam, your explanation is better than what I learned in my class.

[MohammadMahadiHassain]

You are a GEM. Such an amazing explanation

[mihirbhawsar]

sir ,
great video and your explanation is awesome.
Please sir make one video on multivariate Lstm using weather dataset.

[tahsinserkanyaman]

These are very good tutorials, please keep this kind of work. U are the best!!

[sashivideos]

Can you show how to plot and predict for any given future dates.?

[geraldmaale]

Thanks for the wonderful work done. I really enjoyed the demo of your lecture. It has actually helped me a lot.

[pwned]

Very nice, man. In the end, you could have plotted the prediction vs the true values and the train loss graph aswell

[koustavdutta]

Hello !! please help your Github Link is showing error for the last 20 days
still now it is showing error

[gabrielmonteiro]

Such a great tutorial. Helped me a lot. Thanks for the time

[alexiscarlier]

Hi, Great video thank you. I have a question on a specific case: I want to use LSTM with a simple NN for regression purpose (yield prediction) that use the biomass of a plant across his growing period. I want to know if the addition of date increase the performances and therefore dynamically predict this yield for the growing season. Do you think it possible?

[samirvinchurkar]

Also, it may help if you can plot for future 6 months if possible and show with past data! Thanks again

[koustavdutta]

Why is your Github Link not working ? Its showing 404 error

[jntaylor]

@KGP Talkie is there a way to time series predict multiple columns at one time.

[thecurtismorgan]

Hello, I still do not understand how to predict future values. This video shows how to test the model using existing data to create X_test. How do I predict next week's values if I have no data_test set, because next week's data_test values are unknown?

[최상원-lx]

Thank you for your great explanation.
Do you have any plan to explain multi-variate LSTM?