Smart City Gnosys
Smart city article details
| Title | Smart Grid Iot: An Intelligent Energy Management In Emerging Smart Cities |
|---|---|
| ID_Doc | 50967 |
| Authors | Shudapreyaa R.S.; Kamalam G.K.; Suresh P.; Sentamilselvan K. |
| Year | 2023 |
| Published | Smart Grids and Internet of Things: An Energy Perspective |
| DOI | http://dx.doi.org/10.1002/9781119812524.ch15 |
| Abstract | Internet of Things enabled smaller objects are networked, linked, and connected via Internet to have advanced tracking and monitoring services. Through using sophisticated automatic monitoring and networking techniques and other aspects of information technology, the Smart Grid (SG) is a concept for changing electric power grid. SG is a set of computers, applications, networking and communications infrastructure for energy management and tracking built in households, industries and in the grid of electricity delivery. Advanced IoT sensing and networking systems can effectively eliminate or mitigate the disruption to transmission lines caused by natural disasters, boost power transmission efficiency and reduce economic losses. Over an environment where electricity consumption is rising, power generation can also increase to meet consumer requirements and facilitate their daily lives. Because while the number of customers is growing, and also because of the unpredictability of the energy load, the demand for electricity will create difficulties for electricity providers and energy producers. Constant power requirements are extremely likely to arise in certain cycles and can be a challenge to the reliability of the device. An efficient scheme for managing energy is needed to satisfy the demand for energy by the residential consumers. Home applicants are encouraged by utility organizations to participate in the scheme of residential energy management (REM). The system, home energy management would make electricity consumption smarter and more productive. The primary intent of power utility is to lessen the load demand at peak time in the grid as the customer wants to reduce energy costs. Energy-efficient technologies for low-power sensors are also emerging due to the implementation of IoT for building smart cities. The energy regulation is seen as a crucial framework for the realization in smart cities of complex energy systems. We offer a short description of energy efficiency and issues of smart cities in this chapter. Any energy-efficient technologies exist that can either reduce energy usage or maximize the use of resources. Smart city strategies must also have the potential to use electricity effectively to manage the associated problems. To optimize energy conservation of residential buildings in this chapter we focus on the Wind-driven Bacterial Foraging Algorithm (WBFA)-based approach and benchmark strategies such as Binary Particle Swarm Optimization (BPSO), Bacterial Foraging Optimization (BFO), Wind-Driven Optimization (WDO), Genetic Algorithm (GA), Genetic Wind Driven Optimization (GWDO), and Genetic Binary Particle Swarm Optimization (GBPSO). © 2023 Scrivener Publishing LLC. All rights reserved. |
| Author Keywords | Energy management system; Internet of Things; Optimization algorithms; Smart cities; Smart grid; Smart meters |
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