Energy Trading Market Simulator Blockchain-based

Abstract

Solar energy devices in homes and businesses eliminate the energy supplier-consumer divide. Energy prosumers have new roles. Blockchain technology allows prosumers, consumers, energy, and amenities to exchange energy in a low-cost, safe, and novel way using cipher encoding and wide-ranging arrangement proof. This job builds and operates an unknown and exact Agent-Based Modeling (ABM) model and Geographic Information System (GIS) to handle energy dealing in a domestic neighborhood market for Qatar's Education City Community Housing. (ECCH). The method for reproducing minor market spatial and timing aspects collects and analyzes energy usage data. These models help you build an automated energy trading system and understand trading markets. GPS data and an agent-based design can be used to study community-based property market deals by quickly changing parameters. High-performance calculations will improve large-scale simulation prototypes with many legislators, providing more accurate results and an accessible environment to study the energy blockchain community's impact on Qatar's economy, society, and technology.