PROJECT REVIEW : SOLAR PLANT.

pawar bharath
2 min readMay 28, 2021

Anomaly detection for solar power plant using Auto-Encoder Lstm model.

Solar Power Plant.

If you are a researcher or writer and would like to join the team please reach out to me at pawarbharath56@gmail.com .

The Team

Bharat Singh : Experienced Developer with a demonstrated history of working in the information technology and services industry. Skilled in Brain-computer Interfaces, Python (Programming Language), Haskell, PHP, and C++. Strong engineering professional with a B.tech + M.Tech Integrated Dual degree focused in Information & Communication Technology and Minor in Cognitive Neuroscience from Centre for Converging Technologies, University of Rajasthan.

Pawar Bharath : Experience in machine learning , deep learning ,Natural language processing ,Cloud computing ,worked with 3 live projects . I have finished my post graduation from Imarticus learning pvt ltd .I am highly skilled in Python programming R programming ,SAS programming , Big Data technologies ,Hands on and practical experience in business intelligence tools like Power bi and Tableau.

Rohit Sanam Venkata : A Electronics and Communication Engineering graduate who is experienced in different technologies of data science like Machine Learning, Deep Learning,Natual Language Processing,Big Data and worked on various projects and an individual who is highly skilled in python programming language and cloud computing services of AWS.

Khan Faiyaz : A MCA post graduate who is experienced in Data Visualization and Data Analytics. I know Python, SQL, Advance Excel and Data visualization tool Tableau and Power BI very well.

Due to confidential issues we cannot permit to publish .For Details about more you can contact me Pawar Bharath i will provide you further information from then.

Thankyou .

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pawar bharath

It’s difficult to be rigorous about whether a machine really knows, thinks, etc, because we’re hard put to define these things.