The losses are divided into technical losses (TL) and non-technical losses (NTL). But recently, utility authorities are facing a huge amount of losses. Although few countries gain profit from electric power exportation, most production is for consumption. The indicators of the size and development of an economy are dependent on its production and consumption of electricity, so electricity theft contributes to slow economic growth. The system could be monitored in real-time over the internet by the utility authority. This research's design architecture is to detect any illegality that occurs between the utility serve and the energy meter at the customers' premises. The utility sector must take advantage of this technology to improve its losses. Researchers have predicted a volatile hike in the quantity of "things" or devices connected to the internet. It is against this drawback that our paper seeks to deploy Internet of Things based Electricity theft detection Using Raspberry Pi. Detecting electricity theft is a nightmare most utility authority. NTL happens due to inaccuracy of metering, electricity stealing or theft and energy unmetered.
Technical losses are in-built in the network and are curbed to a considerable level the remaining is due to the power dissipation of conductors and other equipment on in the distribution and transmission network.
We can divide the losses into technical losses (TL) and non-technical losses (NTL). But recently, utility authorities are facing a considerable amount of losses.
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