Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
A server-assisted secure blockchain model for residential demand response in smart grids
by
Shuaibu, Hassan Abdurrahman
, Ustun, Taha Selim
, Ghosh, Aritra
, Goswami, Arup Kumar
in
639/166
/ 639/4077
/ 639/705
/ Access control
/ AES 256
/ Blockchain
/ Climatic conditions
/ Compliance
/ Decentralization
/ Demand side management
/ Energy industry
/ Energy resources
/ Green energy
/ Humanities and Social Sciences
/ Interoperability
/ multidisciplinary
/ P2P trading
/ Peak to average ratio (PAR)
/ Photovoltaics
/ Privacy
/ Public Key Infrastructure
/ Science
/ Science (multidisciplinary)
/ Secure server RSA
/ Smart contracts
2026
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
A server-assisted secure blockchain model for residential demand response in smart grids
by
Shuaibu, Hassan Abdurrahman
, Ustun, Taha Selim
, Ghosh, Aritra
, Goswami, Arup Kumar
in
639/166
/ 639/4077
/ 639/705
/ Access control
/ AES 256
/ Blockchain
/ Climatic conditions
/ Compliance
/ Decentralization
/ Demand side management
/ Energy industry
/ Energy resources
/ Green energy
/ Humanities and Social Sciences
/ Interoperability
/ multidisciplinary
/ P2P trading
/ Peak to average ratio (PAR)
/ Photovoltaics
/ Privacy
/ Public Key Infrastructure
/ Science
/ Science (multidisciplinary)
/ Secure server RSA
/ Smart contracts
2026
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
A server-assisted secure blockchain model for residential demand response in smart grids
by
Shuaibu, Hassan Abdurrahman
, Ustun, Taha Selim
, Ghosh, Aritra
, Goswami, Arup Kumar
in
639/166
/ 639/4077
/ 639/705
/ Access control
/ AES 256
/ Blockchain
/ Climatic conditions
/ Compliance
/ Decentralization
/ Demand side management
/ Energy industry
/ Energy resources
/ Green energy
/ Humanities and Social Sciences
/ Interoperability
/ multidisciplinary
/ P2P trading
/ Peak to average ratio (PAR)
/ Photovoltaics
/ Privacy
/ Public Key Infrastructure
/ Science
/ Science (multidisciplinary)
/ Secure server RSA
/ Smart contracts
2026
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
A server-assisted secure blockchain model for residential demand response in smart grids
Journal Article
A server-assisted secure blockchain model for residential demand response in smart grids
2026
Request Book From Autostore
and Choose the Collection Method
Overview
The paper proposes a two layered blockchain-based residential demand side management (DSM) scheme that integrates a secure centralized server, (Energy Plus) EnPlus, and a private Ethereum blockchain to deliver both real-time operational efficiency and distributed transaction trust. The architecture also allows secure and transparent peer-to-peer energy trading using (Green Energy Reward) GER Tokens, which are controlled through Solidity-based smart contracts. Computationally demanding tasks of load forecasting, bid-offer matching and policy enforcement are carried out in the EnPlus server. The authorization of prosumers is provided through Public Key Infrastructure where AES-256 encryption is used when data from smart meter collected and uploaded to server and SHA-256 hashing with RSA is used to provide data confidentiality and integrity. The shiftable appliances are scheduled through Firefly Optimization Algorithm in two conditions: DSM without P2P trading and DSM with P2P trading using tokens to reduce the energy costs. The validity of the system is brought out with a case study of 52 prosumers (25 real prosumers and 27 are part of the extended project) within the climatic conditions of Kolkata with each having a 2.5 kW rooftop photovoltaic system. This system offers better savings and reduces peak to average ratio. P2P trading has typical financial advantages and it will lead to local energy independence but there will be little delays in transactions because of the hybrid processing model. The protocol is proven to be highly scalable, privacy preserving, and robust that offers a viable roadmap to secure, decentralized residential energy markets.
This website uses cookies to ensure you get the best experience on our website.