• Amit Sharma

Rising demand for energy calls for effective management of the supply. All devices in smart homes are connected to the Internet via the Internet of Things. There is a possible means to research the trend of consumer usage and to forecast their energy demand accordingly. Multi Agents have long been used in computer science, and have applied for many applications to replicate human work. Such multi-agent systems have been implemented in smart transportation, smart cities and smart grid and so on to track and manage the cyber physical structures. This paper proposes a Multi-Agent System (MAS) in an IoT based framework for smart energy management. Inspired by the rivalry in human societies to accept the best proposals: this work proposes a demand reduction Agent Negotiation method. The IoT network agents are negotiating with the meter agent to approve a suggestion that will reduce the use of the peak hour. The negotiator also negotiates energy usage with the meter agent when the supply of renewables is excess. This agreement is carried out with hundreds and thousands of households, thereby allowing utilities to efficiently meet the supply-demand. Consumers get the best offers depending on the programs they support.

Internet of Things, Multi-agent system, Negotiation, Distribution automation, Smart grid.

"Power Distribution System Using IOT-FOG", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.364-369, January-2019, Available :http://www.jetir.org/papers/JETIREY06077.pdf

"Power Distribution System Using IOT-FOG", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp364-369, January-2019, Available at : http://www.jetir.org/papers/JETIREY06077.pdf