Development of System Framework for Smart Cities with Forecasting Electrical Consumption
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Computer Technology | Iraq | Volume 9 Issue 2, February 2020

Development of System Framework for Smart Cities with Forecasting Electrical Consumption

Noor Hamid Obed, Dr Muhammad Najm

A significant extent of world energy consumption is by creating nations. Today, electric energy has turned into a basic and fundamental piece of the improvement of technology.. Generation and consumption of electrical energy, which encourages human life and builds work efficiency, are expanding each year. The artificial neural networks (ANNs) received attention in control applications due to the ability to produce complex dynamics, especially when they have feedback connections. The problem of finding the best parameter set for a network to solve a problem can be seen as a search and optimization problem In recent past, there are two widely used stochastic algorithms, genetic algorithms (GAs) and particle swarm optimization (PSO), applied to the problem of optimizing parameters of ANNs for the training of different research datasets.. ANN appears to be a decent indicator of electricity consumption.

Keywords: smart cities, system framework

Edition: Volume 9 Issue 2, February 2020

Pages: 848 - 851

Share this Article

How to Cite this Article?

Noor Hamid Obed, Dr Muhammad Najm, "Development of System Framework for Smart Cities with Forecasting Electrical Consumption", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=8061901, Volume 9 Issue 2, February 2020, 848 - 851

90 PDF Views | 68 PDF Downloads

Download Article PDF



Top