TY - GEN
T1 - Blockchain for Transactive Energy Marketplace
AU - Boumaiza, Ameni
AU - Sanfilippo, Antonio
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The term 'energy prosumer' refers to a new job category that has emerged with the advent of distributed energy production via residential and commercial photovoltaic (PV) applications. The conventional distinction between energy providers and consumers becomes muddled as a result. For the procedure to be automated, blockchain technology has been used. This will make it easier for consumers, prosumers, and utilities to deal directly with energy safely, conveniently, and cost-effectively. This research aims to provide an agent-based modeling (ABM) simulation framework for energy exchange, exhibiting the anticipated power profiles of families and illustrating the operation of blockchain operations (see Figure. 1). A distributed energy resource (DER) of the transactive energy (TE) type was simulated inside the Education City Community Housing (ECCH) microgrid using a reliable multi-agent framework. Blockchain technology is necessary for this. Current blockchain-based local energy market (LEM) plans depend on precise short-term energy generation forecasts and home consumption to balance supply and demand. The present research evaluated the precision of cutting-edge energy forecasting methods in estimating homes' energy production and consumption. It examined the effects of forecasting mistakes on market results under various supply scenarios. While LSTM models may provide few forecasting errors, the researchers discovered that the prediction process must be changed for a LEM constructed on a blockchain. Since this study tries to predict the timeline of smart meters generally, it sets itself apart from past investigations.
AB - The term 'energy prosumer' refers to a new job category that has emerged with the advent of distributed energy production via residential and commercial photovoltaic (PV) applications. The conventional distinction between energy providers and consumers becomes muddled as a result. For the procedure to be automated, blockchain technology has been used. This will make it easier for consumers, prosumers, and utilities to deal directly with energy safely, conveniently, and cost-effectively. This research aims to provide an agent-based modeling (ABM) simulation framework for energy exchange, exhibiting the anticipated power profiles of families and illustrating the operation of blockchain operations (see Figure. 1). A distributed energy resource (DER) of the transactive energy (TE) type was simulated inside the Education City Community Housing (ECCH) microgrid using a reliable multi-agent framework. Blockchain technology is necessary for this. Current blockchain-based local energy market (LEM) plans depend on precise short-term energy generation forecasts and home consumption to balance supply and demand. The present research evaluated the precision of cutting-edge energy forecasting methods in estimating homes' energy production and consumption. It examined the effects of forecasting mistakes on market results under various supply scenarios. While LSTM models may provide few forecasting errors, the researchers discovered that the prediction process must be changed for a LEM constructed on a blockchain. Since this study tries to predict the timeline of smart meters generally, it sets itself apart from past investigations.
KW - Blockchain
KW - long-term memory (LSTM)
KW - market mechanism
KW - market simulation
KW - short-term energy forecasting
UR - http://www.scopus.com/inward/record.url?scp=85172074729&partnerID=8YFLogxK
U2 - 10.1109/ISIE51358.2023.10228076
DO - 10.1109/ISIE51358.2023.10228076
M3 - Conference contribution
AN - SCOPUS:85172074729
T3 - IEEE International Symposium on Industrial Electronics
BT - 2023 IEEE 32nd International Symposium on Industrial Electronics, ISIE 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 32nd IEEE International Symposium on Industrial Electronics, ISIE 2023
Y2 - 19 June 2023 through 21 June 2023
ER -