I'm trying to step into this field, Soumil. Do you have any books, websites or anything else to recommend? I understood what you are doing in the video, however, I don't know how to actually do it from scratch. Great video, mate!
Hello, thank you a lot for this very helpful video! I was wondering, if we want to use that model for electricity demand forecasts in a few year's time, how can we take into account additional factors such as the increasing use of electrical vehicles?
when i execute it for my data is shows this error. The section is last one CODE: fig = plt.figure() ax1= fig.add_subplot(111) x = dates y = True_MegaWatt y1 = Predicted_MegaWatt plt.plot(x,y, color="green") plt.plot(x,y1, color="red") # beautify the x-labels plt.gcf().autofmt_xdate() plt.xlabel('Dates') plt.ylabel("Power in MW") plt.title("Machine Learned the Pattern Predicting Future Values ") plt.legend() error: float() argument must be a string or a number, not 'Timestamp'
Thank you. I would like to ask you a question. What about if I have CPU usage and I need to estimate energy consumption for each machine based on resource usage. How can I calculate energy consumption in this scenario to add a new column in my data set as energy consumption, because my data doesn’t show power consumption I need to calculate it my self!
Hoi bro, bro I am doing a project on big data analytics and the aim of the project is to identify the thefting of electricity.this video is some what related to my project could u give me more information about analysis of big data and how to complete my project
@ Is it possible to perform LSTM on a small dataset?
3 роки тому
@@ainafaqihah8328 I'm really stuck :( and no you cannot it doesn't predict anything, could we talk in private? will ask some questions if you don't mind, here's my Instagram: zerdest.taifour
Hi, Thank you for a good description. I managed to run the code and overcome all error. Now I would like to predict future value and not substract "60 days data" from my df. Where do i change in the code in order to tell the machine to predict the energy consumption in the coming 60 days (ex 2021-06-08)?
Thank you for sharing your video. In my case, I do have the 'Floodwater' column, but I still get the keyError when try to select the column. Kindly advise please. Thank you sir
Hello Soumil, I wanted to know how did you manage to get the data set of power consumption of the company. Basically, I am also working on the same project just don't know how to or from where I can get tha data set. Urgently required please help.
I'm jegatheshwaran now I doing ME in power system engineering....Now I start do to my final year project in forecasting.regard this I need some help.....I need prectron neural networks working principle and details about ARIMA,TBATS,MLP,SVR
HI bro , Dataset contains values till august 2018, if we are predicting values 2 months later. it should show predicted values of September and October values of 2018. but here its showing values till August. could you please explain this part
Hey Soumil, I'm trying to re-do the same code on a data set similar to this but apparently its not working, is it okay if i connected with you on Linkedin and you could have a look from there ? Need some help.
Sir i am getting error, please help me out Training_Set = Training_Set.values sc = MinMaxScaler(feature_range=(0, 1)) Train = sc.fit_transform(Training_Set) NameError Traceback (most recent call last) Cell In [10], line 1 ----> 1 Training_Set = Training_Set.values 2 sc = MinMaxScaler(feature_range=(0, 1)) 3 Train = sc.fit_transform(Training_Set) NameError: name 'Training_Set' is not defined
How do you predict future dates?
It was a wonderful demonstration !! Hope to have more videos on electrical dataset.
Thanks
@@SoumilShah I am also facing some problems, please give me your maild or mail me --> prawinaher16@gmail.com
from where can i get the dataset to practie?
Hey, I can see that the predicted data tends to lead the original data 14:07, what could this mean?
From where can we get the csv file?
I have a quick question. why you didn't perform the test to check data is stationary or Augmented Dickey-Fuller Test?
Really Superb...Thanks allot
I'm trying to step into this field, Soumil. Do you have any books, websites or anything else to recommend? I understood what you are doing in the video, however, I don't know how to actually do it from scratch.
Great video, mate!
Hello, thank you a lot for this very helpful video! I was wondering, if we want to use that model for electricity demand forecasts in a few year's time, how can we take into account additional factors such as the increasing use of electrical vehicles?
what about prototype?
how will you do for this?
what is the implementation you do?
Where did you get the required dataset
when i execute it for my data is shows this error.
The section is last one
CODE:
fig = plt.figure()
ax1= fig.add_subplot(111)
x = dates
y = True_MegaWatt
y1 = Predicted_MegaWatt
plt.plot(x,y, color="green")
plt.plot(x,y1, color="red")
# beautify the x-labels
plt.gcf().autofmt_xdate()
plt.xlabel('Dates')
plt.ylabel("Power in MW")
plt.title("Machine Learned the Pattern Predicting Future Values ")
plt.legend()
error:
float() argument must be a string or a number, not 'Timestamp'
@soumilshah can I get to understand how was this graph made ... talking about code . Need code to see rate of change of electricity consumption
Did you use other predictors in addition to time of the day?
Where can I find this Dataset?
Thank you.
I would like to ask you a question. What about if I have CPU usage and I need to estimate energy consumption for each machine based on resource usage. How can I calculate energy consumption in this scenario to add a new column in my data set as energy consumption, because my data doesn’t show power consumption I need to calculate it my self!
Hi Soumil. Nice video. Question though, how do you print the values of next 2 months calculated based on the machine learning model??
try fb prophet for it
Hoi bro, bro I am doing a project on big data analytics and the aim of the project is to identify the thefting of electricity.this video is some what related to my project could u give me more information about analysis of big data and how to complete my project
Thanks for this video, but I have a question; can we predict the next two weeks for example instead of two months? Thanks
Hi, do you have the solution for this?
@@ainafaqihah8328 all you have to do Is to resample the data into days or weeks, it depends on the horizon and predict wtv you want
@ Is it possible to perform LSTM on a small dataset?
@@ainafaqihah8328 I'm really stuck :( and no you cannot it doesn't predict anything, could we talk in private? will ask some questions if you don't mind, here's my Instagram: zerdest.taifour
@ already contact you on instagram
How many data you need to get an accurate prediction with an LSTM model? Very interesting job
Hi,
Thank you for a good description. I managed to run the code and overcome all error. Now I would like to predict future value and not substract "60 days data" from my df. Where do i change in the code in order to tell the machine to predict the energy consumption in the coming 60 days (ex 2021-06-08)?
Hey I am getting 'nan' in some places in final table ...how do I fix it? Plz help
@@varsha9094 Hi, i used
newdf = df.dropna()
Hey i getting error to showing graph "assertion error" how can i fix it plz help me
Hi!
Nice work.
In the energy consumption graph (where you are showing the the concentration) what is y axis?
Is this code in R language or a python
I am beginner so its becoming difficult to understand it ?
Thanks! awesome explanation
Thank you for sharing your video. In my case, I do have the 'Floodwater' column, but I still get the keyError when try to select the column. Kindly advise please. Thank you sir
line 419, when did u call that function- Minmax scaler and transform?
I have error to showing the graph of year plz can u help me.... How to contact u,sir
My jupyter notebook doesn't show any output. Could you please help?? 😭😭
Thanks man, this was damn helpful.
I'm trying to do that using the research , that how we can implement support vector machine to that same task with more accuracy
getting error while running the code : cannot reindex from a duplicate axis
Hello Soumil, I wanted to know how did you manage to get the data set of power consumption of the company. Basically, I am also working on the same project just don't know how to or from where I can get tha data set. Urgently required please help.
Usually you can get dataset on kaggle or you can also contact the company !
Sorry brother i missed live 😢I'll use this model on stock prediction I'll let u inform how the results came
I'm jegatheshwaran now I doing ME in power system engineering....Now I start do to my final year project in forecasting.regard this I need some help.....I need prectron neural networks working principle and details about ARIMA,TBATS,MLP,SVR
I am not able to Energy consumption vs time plot. TypeError: float() argument must be a string or a number, not 'datetime.time'
Just convert everything into String
add this to your code :
pd.plotting.register_matplotlib_converters()
@@funwith Thanks.. It worked :)
@@SoumilShah can I get your email please
@@funwith where do we have to add this line in the beginning or at the end can you send me full code please that would be really helpful
I am having an error on the last plot "TypeError: float() argument must be a string or a number, not 'Timestamp'.
check my version of the code here :
github.com/drwiiche/electricity-consumption
where's the dataset please provide
Great !!!
HI bro , Dataset contains values till august 2018, if we are predicting values 2 months later. it should show predicted values of September and October values of 2018. but here its showing values till August. could you please explain this part
from where we can downloasd csv file?
Hey Soumil, I'm trying to re-do the same code on a data set similar to this but apparently its not working, is it okay if i connected with you on Linkedin and you could have a look from there ? Need some help.
@soumilshah1995
grate
hi ..where did u collect this dataset
Kaggle
Sir can I get this project linkk
Sir I got a error at Training_Set
It's showing error as MinMax not defined how it can be solved
sailoo boini you have not imported min max scalar
Import min max max scaler do that type that on google
@@SoumilShah thanks I'll try tomorrow
Hi sir thanks for you
Can i get programmed file???
How to predict next 2 days AEP_MW value
How to measure accuracy rate
sir, i am having an error in the individual plot of energy consumption. AssertionError:
me too. did you find the solution to this ?
@@muhammadyasinbinosman7970 no
me too @@n613s8
does anyone find solution on this?
Sir please provide code for exogenous variables
Sir i am getting error, please help me out
Training_Set = Training_Set.values
sc = MinMaxScaler(feature_range=(0, 1))
Train = sc.fit_transform(Training_Set)
NameError Traceback (most recent call last)
Cell In [10], line 1
----> 1 Training_Set = Training_Set.values
2 sc = MinMaxScaler(feature_range=(0, 1))
3 Train = sc.fit_transform(Training_Set)
NameError: name 'Training_Set' is not defined
Training_Set = NewDataSet.iloc[:,0:1] did u define that?
Getting error in 304 block
I got some errors trying to run this.Could you please help?
you can have a version of code that works here
github.com/drwiiche/electricity-consumption
Can you please share the dataset?
Thanks..
github.com/drwiiche/electricity-consumption/blob/master/AEP_hourly.csv
@@funwith I can't download it..
plz share the project file
can u please send the link for dataset
Its on Kaggle please download from Kaggle
@@SoumilShah @sir it is not found on Kaggle, please share the link.
@@n613s8 www.kaggle.com/robikscube/hourly-energy-consumption this is the link
@@ibtissamelghoual2131 thanks
sir, i am having an error in the individual plot of energy consumption. AssertionError:
how to resolve it?
Facing the same problem @mohamedanga please help
Your model has serious flaws use icdst Ai model instead.
sir, please share the CSV file
Csv is on kaggle
@@SoumilShah sir when I'm resampling the dataset it's converting a lot of values in null, I don't know why. Can you please help
@@SoumilShah what is the name of csv in kaggle sir
From where we can download the data set
where can i find the data set?