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Forecasting with Python

₹600-5000 INR

Closed
Posted about 4 years ago

₹600-5000 INR

Paid on delivery
I need help creating some several forecasting models. We should use ARIMA, VAR, and some adequate and important methods (other than ANN). You will suggest other forecasting models. Statistics methods of validation should be used to compare the forecasted values with graphs and explanation. There are 5 types of inputs in the excel file: 1- Temperature, power, system situation one (values between 0-1), system situation two (values between 0 -1) and setpoints which are obtained every 5 minutes. 2- The model should forecast Power and Temperature with intervals of 5 minutes for half an hour ahead (6 pairs of values) and produce an excel sheet.
Project ID: 24804096

About the project

8 proposals
Remote project
Active 4 yrs ago

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8 freelancers are bidding on average ₹12,725 INR for this job
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Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several companies and have done projects involving high level quantitative analysis and data interpretation skills to study the trends, time behaviour and compare the variables in the data. I can do advanced level analysis in SPSS, R, PYTHON, WEKA, TABLEAU and EXCEL tools like machine learning, deep learning, AI, NLP, hypothesis testing, forecasting, T-test, ANOVA etc. Looking forward to discussion, Best Regards, Suyash
₹10,000 INR in 7 days
4.7 (148 reviews)
7.1
7.1
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Experienced Machine Learning Engineer, worked on many projects related to machine learning field including deep learning and NLP . I have very good experience in Python, Numpy, Tensorflow and Keras. I worked in forcasting projects before to predict energy consumtion. I can begin Immediately in your work.
₹5,000 INR in 7 days
5.0 (6 reviews)
2.6
2.6
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Hi, I am CS research assistant at college. I did your project before and published. The abstract of paper is below. I implemented XGboost, Arima, Univar and ANN. Please let me explain. Kind regards. Abstract—The forecasting of electricity consumption becomes critical for electricity demand response aggregators and portfolio managers. By definition, electricity consumption is a time series data and the prediction techniques need simply past values of data or in a word a memory. This paper presents a comparison between 3 deep learning forecasting models on the purpose of getting better accuracy. The First model is simple Long-Short Term Memory(LSTM) architecture, second is Encoder-Decoder LSTM structure and third is a CNN-LSTM Encoder- Decoder architecture. In this work, This 3 model compared each other by different epoch numbers, root mean square errors and best fitting in such cases of the sudden changes occurred in data.
₹4,500 INR in 4 days
5.0 (3 reviews)
2.5
2.5
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Our company is specialised in AI. We can produce model with best accuracy. Apart from basic models like ARIMA we will use advanced models like XGBoost, LightGBM etc to get best results. We will able to complete this within 7 days. I need more details of requirement.
₹15,000 INR in 7 days
5.0 (1 review)
2.0
2.0
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I done finishing with Vehicle management to risk customer identification using LR and ready to take with another. Happy to talk more on it.
₹55,556 INR in 10 days
5.0 (1 review)
1.2
1.2
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Hi I have 5 years of experience in Accenture as a python developer. DM me to get buried idea and then we can proceed with work.
₹4,444 INR in 35 days
0.0 (0 reviews)
0.0
0.0

About the client

Flag of INDIA
faridabad, India
4.9
37
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Member since Mar 9, 2017

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