Flask app to predict daily radiation from the time series of Solcast from Islamabad, Pakistan

Last update: Dec 31, 2021

Overview

End-to-End Machine Learning of Historical Solar Radiation for Islamabad

Link: https://solar-isb-flaskapp.herokuapp.com/

Flask app to predict daily radiation from the time series of Solcast from Islamabad, Pakistan.

Input: month, day, Daily_Temp, Daily_Precip, Daily_Humidity, Daily_Pressure, Daily_WindDir, Daily_WindSpeed, Daily_DNI, Daily_GHI Output: Daily_radiation

Use Json Input

{
    "month":12,
    "day":3,
    "Daily_Temp":10.98,
    "Daily_Precip":9.07,
    "Daily_Humidity":59.20,
    "Daily_Pressure":929.06,
    "Daily_WindDir":167.30,
    "Daily_WindSpeed":1.86,
    "Daily_DNI":522.20,
    "Daily_GHI":324.60
}

Results

[
    {
        "Daily_DNI": 522.2,
        "Daily_GHI": 324.6,
        "Daily_Humidity": 59.2,
        "Daily_Precip": 9.07,
        "Daily_Pressure": 929.06,
        "Daily_Temp": 10.98,
        "Daily_WindDir": 167.3,
        "Daily_WindSpeed": 1.86,
        "day": 3,
        "month": 12
    },
    {
        "solar irradiance": 92.71980683342349
    }
]

Postman

Mlflow

NeptuneAI

Owner

Abid Ali Awan

Love building machine learning product and working on MLOps. Currently, focusing on content creation, building brand, and startup.

GitHub Repository https://solar-isb-flaskapp.herokuapp.com/

Python module for data science and machine learning users.

dsnk-distributions package dsnk distribution is a Python module for data science and machine learning that was created with the goal of reducing calcu

1 Nov 23, 2021

Generate music from midi files using BPE and markov model

37 Oct 24, 2022

A simple machine learning package to cluster keywords in higher-level groups.

Simple Keyword Clusterer A simple machine learning package to cluster keywords in higher-level groups. Example: "Senior Frontend Engineer" -- "Fronte

10 Dec 18, 2022

Automatic extraction of relevant features from time series:

tsfresh This repository contains the TSFRESH python package. The abbreviation stands for "Time Series Feature extraction based on scalable hypothesis

7k Jan 06, 2023

Microsoft Machine Learning for Apache Spark

Microsoft Machine Learning for Apache Spark MMLSpark is an ecosystem of tools aimed towards expanding the distributed computing framework Apache Spark

3.9k Dec 30, 2022

Python library for multilinear algebra and tensor factorizations

scikit-tensor is a Python module for multilinear algebra and tensor factorizations

394 Dec 09, 2022

MachineLearningStocks is designed to be an intuitive and highly extensible template project applying machine learning to making stock predictions.

Using python and scikit-learn to make stock predictions

1.3k Jan 03, 2023

MCML is a toolkit for semi-supervised dimensionality reduction and quantitative analysis of Multi-Class, Multi-Label data

MCML is a toolkit for semi-supervised dimensionality reduction and quantitative analysis of Multi-Class, Multi-Label data. We demonstrate its use

26 Nov 29, 2022

Flightfare-Prediction - It is a Flightfare Prediction Web Application Using Machine learning,Python and flask

Flight_fare-Prediction It is a Flight_fare Prediction Web Application Using Machine learning,Python and flask Using Machine leaning i have created a F

1 Dec 06, 2022

Interactive Parallel Computing in Python

Interactive Parallel Computing with IPython ipyparallel is the new home of IPython.parallel. ipyparallel is a Python package and collection of CLI scr

2.3k Dec 30, 2022

Falken provides developers with a service that allows them to train AI that can play their games

Falken provides developers with a service that allows them to train AI that can play their games. Unlike traditional RL frameworks that learn through rewards or batches of offline training, Falken is

223 Jan 03, 2023

Python package for stacking (machine learning technique)

vecstack Python package for stacking (stacked generalization) featuring lightweight functional API and fully compatible scikit-learn API Convenient wa

671 Dec 25, 2022

Accelerating model creation and evaluation.

EmeraldML A machine learning library for streamlining the process of (1) cleaning and splitting data, (2) training, optimizing, and testing various mo

0 Dec 06, 2021

Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores

95 Dec 28, 2022

Simulate & classify transient absorption spectroscopy (TAS) spectral features for bulk semiconducting materials (Post-DFT)

PyTASER PyTASER is a Python (3.9+) library and set of command-line tools for classifying spectral features in bulk materials, post-DFT. The goal of th

4 Dec 27, 2022

Breast-Cancer-Classification - Using SKLearn breast cancer dataset which contains 569 examples and 32 features classifying has been made with 6 different algorithms

1 Jan 31, 2022