@inproceedings{e08c74552b734571ac7188ece4ba604f,
title = "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.",
keywords = "Agent-based modeling, Blockchain, Energy Trading, GIS, Real-time mapping, Social Simulation, Spatial process",
author = "Ameni Boumaiza",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 Systems and Information Engineering Design Symposium, SIEDS 2023 ; Conference date: 27-04-2023 Through 28-04-2023",
year = "2023",
doi = "10.1109/SIEDS58326.2023.10137796",
language = "English",
series = "2023 Systems and Information Engineering Design Symposium, SIEDS 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "203--207",
booktitle = "2023 Systems and Information Engineering Design Symposium, SIEDS 2023",
address = "United States",
}