Electricity Load Forecasting in Smart Grid using Web Based Geographic Information Systems (Web GIS)

0*, Rakesh Ranjan**
*-** Department of Engineering, Himgiri Zee University, Dehradun, Uttarakhand, India
Periodicity:May - July'2022
DOI : https://doi.org/10.26634/jfet.17.4.18971

Abstract

India is a developing nation and due to emerging new infrastructure in various sectors, the demand of electricity is always higher than generation. Smart Grid is an automated system which includes automation of existing electrical infrastructure into modern and controlled system with the help of IT control, Internet of Things (IoT) systems that enables real-time monitoring and control of bi-directional power flows and information flows from generation to consumption. Electricity demand is a major issue in India and with the help of these technologies the demand of electricity can be managed in reliable and economic mode. Consumers can monitor real-time energy consumption of their energy use, and this can be reflected in supply, demand and generation of energy. State utilities send their billing data to Electricity Regulatory Commission every year where billing data analysis is carried and new tariff of electricity is decided by the Regulatory Commission to all Consumers of Electricity in the State. Web based Geographical Information System (GIS) can help by mapping all electrical infrastructures on a digital map including their complete details and all consumers can be mapped. Web based GIS can help to state utilities as a tool for plan and manage their all assets by logging into the system from anywhere. Web based GIS can help to manage area wise Load Scheduling by integrating Road, Buildings, Lands, Transmission Stations, Transmission Lines, Generation Stations and consumer's detail. This system can help for Load Forecasting, Decision Making and Electricity Demand Management for State Utilities, Regulatory Body and Policy Makers towards making effective approach in Energy Conservation and Efficiency.

Keywords

Smart Grid, Web Based Geographic Information Systems, Internet of Things, Electricity Demand Management.

How to Cite this Article?

Kumar, R., and Ranjan, R. (2022). Electricity Load Forecasting in Smart Grid using Web Based Geographic Information Systems (WEB GIS). i-manager’s Journal on Future Engineering & Technology, 17(4), 25-30. https://doi.org/10.26634/jfet.17.4.18971

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