Tracked shipping to the Netherlands for just € 7. Prices include 9% BTW and new EU € 3 customs duty. No hidden fees. 

Ship to
Netherlands
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Powering the Future: Smart DC Voltage Control with Machine Learning
Type
Physical Book
Author
Publisher
Language
English
Pages
52
Format
Paperback
Dimensions
22.9 x 15.2 x 0.3 cm
Weight
0.09 kg.
ISBN13
9786207470310
Categories

Powering the Future: Smart DC Voltage Control with Machine Learning

A. Radhika (Author) · J. Karthika (Author) · G. Mahalakshmi (Author) · LAP Lambert Academic Publishing · Paperback

Powering the Future: Smart DC Voltage Control with Machine Learning - Karthika, J. ; Mahalakshmi, G. ; Radhika, A.

New Book Imported to Netherlands
Delivery: 12 Aug - 14 Aug Shipping: 13 to 14 business days.
48,58 €
Import costs and 9% BTW included in the price ✅
48,58 €

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Powering the Future: Smart DC Voltage Control with Machine Learning"

The application of social artificial intelligence (AI) techniques appears to be creating a real viable solution that will improve over the management and operation of micro microgrids in potential future smart grid networks. The primary goal of the suggested system is to regulate renewable energy during fluctuations to provide a steady supply of electricity, so here we continuously monitor solar panel power generation and load usage, and send these values to a machine learning model to categorize the switching status of the regulator circuit. In the proposed system, the solar panel absorbs the solar energy at the sun's peak hours. When the voltage readings are above a certain fixed value, the voltage is supplied to the load. In case the voltage from the solar panel is less than the fixed value, it's not enough to be supplied to the load. This is where the involvement of Machine Learning plays a major role. The shortage of power will be detected by machine learning. Then the voltage for the load will be provided from the SMPS. The KNN algorithm has a set of pre-defined set of data which is gathered from testing, which will be referred for providing voltage for the load.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews