Development of System Framework for Smart Cities with Forecasting Electrical Consumption

Noor Hamid Obed, Dr Muhammad Najm

Abstract: 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

How to Cite?: Noor Hamid Obed, Dr Muhammad Najm, "Development of System Framework for Smart Cities with Forecasting Electrical Consumption", Volume 9 Issue 2, February 2020, International Journal of Science and Research (IJSR), Pages: 848-851, https://www.ijsr.net/getabstract.php?paperid=8061901, DOI: https://dx.doi.org/10.21275/8061901