Chapter 5 - A survey on AI- and ML-based demand forecast analysis of power using IoT-based SCADA

Abstract

Without the discovery of electrical energy, life would not be what it is today. It has become an inseparable and integral part of human life, starting from domestic use to industrial activities. The centralized distribution system has to supply sufficient power. A deadly consequence will be faced if supply of electricity exceeds its demand. However, it is hard to determine the demand with respect to change in life style, industrialization etc. To make the supply in par with the demand, various statistical methods were adopted, which led to unsatisfied outcomes. It is not facilitated to keep track of equipment-wise electricity consumption audit as well, as there is no analysis of discriminant usage pattern. In this chapter, we discuss the classification between the traditional forecast analysis models and modern machine learning-based models. This study will help to determine effective and efficient forecast model for the prediction of accuracy. Also, it shares the in-depth view on the integration of artificial intelligence (AI) in making a remarkable impact on power audit by ranking the electrical equipments according to their period of usage and non-usage. A discriminant analysis has been performed to educate the customer in shifting the priority of usage to reduce the peak demand during peak hours. Predicting and locating the various issues of power distribution like outage, blackouts, burnouts, and brownouts in a converted Smart Grid with the advent of AI and Internet of Things (IoT) is highly feasible. An integration of smart IoT, AI and machine learning architecture has been proposed to make the distribution as a smart power distribution system. A smart metering policy has embedded as well, to make the consumption-based pay band metering policy with respective of peak and non-peak hours. Also, this system has the capability to detect line continuity and power quality at each distribution node, which reduces the dependency of human, and thereby it leads to time consumption.