Hallo! Tracked shipping to Netherlands with Delivery Duty Paid for just €7 

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 Smart Grid Analytics for Sustainability and Urbanization in Big Data
Type
Physical Book
Publisher
Author
Language
English
Pages
280
Format
Hardcover
Dimensions
24.4x17x2.2 cm
Weight
0.80 kg.
ISBN13
9783036591735
Categories

Smart Grid Analytics for Sustainability and Urbanization in Big Data

Aslam, Sheraz ; Herodotou, Herodotos ; Ashraf, Nouman (Author) · Mdpi AG · Hardcover

Smart Grid Analytics for Sustainability and Urbanization in Big Data - Aslam, Sheraz ; Herodotou, Herodotos ; Ashraf, Nouman

Cheaper New Book Imported to Netherlands
Delivery: 30 Sep - 07 Oct Shipping: 16 to 20 business days.
€ 85,65
Faster New Book Imported to Netherlands
Delivery: 15 Sep - 17 Sep Shipping: 5 to 6 business days.
€ 85,79
Import costs and 9% BTW included in the price ✅
€ 85,65

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

Go to My Wishlists
Calculate shipping cost

Synopsis "Smart Grid Analytics for Sustainability and Urbanization in Big Data"

This reprint covers the following topics in the field of smart grids: 1. Optimal dg location and sizing to minimize losses and improve the voltage profile using garra rufa optimization. 2. Solar and wind energy forecasting for the green and intelligent migration of traditional energy sources. 3. Optimized micro-grid's operation with electrical-vehicle-based hybridized sustainable algorithm. 4. The detection of nontechnical losses in smart meters using a MLP-GRU deep model and augmenting data via theft attacks. 5. A hybrid deep-learning-based model for the detection of electricity losses using big data in power systems. 6. Load frequency control and automatic voltage regulation in a multi-area interconnected power system using nature-inspired computation-based control methodology. 7. Line overload alleviations in wind energy integrated power systems using automatic generation control. 8. Electric price and load forecasting using a CNN-based ensembler in a smart grid. 9. Day-ahead energy forecasting in a smart grid considering the demand response and microgrids. 10. A dragonfly optimization algorithm for extracting the maximum power of grid-interfaced pv systems. 11. An economic load dispatch problem with multiple fuels and valve point effects using a hybrid genetic-artificial fish swarm algorithm. 12. Incentive-based dynamic pricing in a smart grid.

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 Hardcover.

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