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solar data prediction

by guruprasanth6901 Updated: Jan 9, 2022

It is solar prediction tool. we taking the consideration of the battery power and the load powers both 1 and 2. if the net rate of the both battery power and inverted power per day is greater than the load power ,then outcome will be zero. else the outcome flag will be 1.

Group Name 1

pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. Scikit-learn is an indispensable part of the Python machine learning toolkit . It is very widely used across all parts of the bank for classification, predictive analytics, and very many other machine learning tasks. NumPy is a Python library used for working with arrays

scikit-learnby scikit-learn

Python star image 52698 Version:1.2.0

License: Permissive (BSD-3-Clause)

scikit-learn: machine learning in Python

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scikit-learnby scikit-learn

Python star image 52698 Version:1.2.0 License: Permissive (BSD-3-Clause)

scikit-learn: machine learning in Python
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pandasby pandas-dev

Python star image 36688 Version:1.5.2

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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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pandasby pandas-dev

Python star image 36688 Version:1.5.2 License: Permissive (BSD-3-Clause)

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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numpyby numpy

Python star image 22526 Version:1.24.1

License: Permissive (BSD-3-Clause)

The fundamental package for scientific computing with Python.

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numpyby numpy

Python star image 22526 Version:1.24.1 License: Permissive (BSD-3-Clause)

The fundamental package for scientific computing with Python.
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Group Name 2

Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy.

matplotlibby matplotlib

Python star image 16767 Version:3.6.2

License: No License (null)

matplotlib: plotting with Python

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matplotlibby matplotlib

Python star image 16767 Version:3.6.2 License: No License

matplotlib: plotting with Python
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auto-sklearnby automl

Python star image 6704 Version:v0.14.7

License: Permissive (BSD-3-Clause)

Automated Machine Learning with scikit-learn

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auto-sklearnby automl

Python star image 6704 Version:v0.14.7 License: Permissive (BSD-3-Clause)

Automated Machine Learning with scikit-learn
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cheatsheetsby matplotlib

Python star image 6706 Version:Current

License: Permissive (BSD-2-Clause)

Official Matplotlib cheat sheets

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cheatsheetsby matplotlib

Python star image 6706 Version:Current License: Permissive (BSD-2-Clause)

Official Matplotlib cheat sheets
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Group Name 3

here it is our github repo .

solardataby Guruprasanth14

Python star image 1 Version:Current

License: No License (null)

solar data prediction using knn algo

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solardataby Guruprasanth14

Python star image 1 Version:Current License: No License

solar data prediction using knn algo
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Deployment Information

our kit measures the power remaining for the next or not. Here we are using the KNN algorithm can compete with the most accurate models because it makes highly accurate predictions. Therefore, you can use the KNN algorithm for applications that require high accuracy but that do not require a human-readable model. It will predict the outcome.

1.preparation of data 2.importing the libraries 3.cleaning the data(collecting only every days last time datas) 4.visualize the data (battery and load power) 5.train the data 6.use sklearn libraray 7.use knn alogoithm to predict the output