你好! Shipping to Taiwan with premium packaging for just NT$300 

Ship to
Taiwan
0

My Account

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

menu

Select your country

Americas

Europe

Rest of the world

portada Residential Electrical Long-Term Load Forecast: Using Artificial Neural Network: 11
Type
Physical Book
Publisher
Author
Language
English
Pages
52
Format
Paperback
ISBN13
9786207486670

Residential Electrical Long-Term Load Forecast: Using Artificial Neural Network: 11

Agboola Olasunkanmi Johnson; Ameze Big-Alabo (Author) · Lap Lambert Academic Publishing · Paperback

Residential Electrical Long-Term Load Forecast: Using Artificial Neural Network: 11 - Agboola Olasunkanmi Johnson; Ameze Big-Alabo

New Book Imported to Taiwan
Delivery: 03 Nov - 11 Nov Shipping: 14 to 15 business days.
NT$ 1,670
NT$ 1,670

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

Go to My Wishlists
Calculate shipping cost

Synopsis "Residential Electrical Long-Term Load Forecast: Using Artificial Neural Network: 11"

The essentiality of electric load forecast for the effective design and management of electric power systems has been achieved in this study. PHEDC may plan for infrastructure construction, resource allocation, and energy management by using accurate long-term load forecasts of this study. In the context of the 11/0.415 kV feeder in Port Harcourt, Nigeria, we have discussed the use of ANNs for a long-term of ten (10) years of load forecasting. Curve fitting feed-forward artificial neural network has been used for the simulation on MATLAB 2020 environment, with six input datasets obtained from TCN, and PHEDCs' offices, and average temperature from NIMET-Abuja all in Nigeria from January, 2015-December, 2019. The regression plot of epoch 11 with training; R=1 and validation of 0.9999 has been achieved which indicates how efficient was the training of the dataset. Levenberg-Marquardt algorithm is used as an optimization technique in this study. It shows that ANN provides effective results on long-term electrical load forecasting of the Woji Estate Feeder with a total forecasted value of 29734.4 MWHR and an average value of 24778.67 MWHR at the end of the tenth year.

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