Solar-Power-Forecasting | final semester project work for M.Sc degree

 by   saradindusengupta Jupyter Notebook Version: Current License: No License

kandi X-RAY | Solar-Power-Forecasting Summary

kandi X-RAY | Solar-Power-Forecasting Summary

Solar-Power-Forecasting is a Jupyter Notebook library. Solar-Power-Forecasting has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This project is part of my final semester project work for M.Sc degree. The main scope and target here is to forecast annual solar power output from geographic locations from Asia (depends on data) and then reduce the total soft cost incurred . The work is detailed in the documentation and project report provided below.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              Solar-Power-Forecasting has a low active ecosystem.
              It has 5 star(s) with 1 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Solar-Power-Forecasting has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Solar-Power-Forecasting is current.

            kandi-Quality Quality

              Solar-Power-Forecasting has no bugs reported.

            kandi-Security Security

              Solar-Power-Forecasting has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              Solar-Power-Forecasting does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              Solar-Power-Forecasting releases are not available. You will need to build from source code and install.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Solar-Power-Forecasting
            Get all kandi verified functions for this library.

            Solar-Power-Forecasting Key Features

            No Key Features are available at this moment for Solar-Power-Forecasting.

            Solar-Power-Forecasting Examples and Code Snippets

            No Code Snippets are available at this moment for Solar-Power-Forecasting.

            Community Discussions

            No Community Discussions are available at this moment for Solar-Power-Forecasting.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install Solar-Power-Forecasting

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/saradindusengupta/Solar-Power-Forecasting.git

          • CLI

            gh repo clone saradindusengupta/Solar-Power-Forecasting

          • sshUrl

            git@github.com:saradindusengupta/Solar-Power-Forecasting.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link