Demand Response Service Certification and Customer Baseline Evaluation Using Blockchain Technology

Sciumè, Giuseppe; García, Emilio José; Gallo, Pierluigi; Sanseverino, Eleonora Riva; Vasquez, Juan C.; Guerrero, Josep M.

doi:10.1109/access.2020.3012781

Cited by 28 publications

(25 citation statements)

References 40 publications

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“…The consumer node uses electronic energy converters to develop consumer profiles and consumption profiles for smart meters [13], [14] in a real-life situation. Platform collectors use permissions to enable the data owner to ensure that only designated parties can process personal data and use smart contracts and encryption technology to record all data transactions within a standard distributed bargain.…”

Section: Related Workmentioning

confidence: 99%

Linear Elliptical Curve Digital Signature (LECDS) With Blockchain Approach for Enhanced Security on Cloud Server

Sowmiya

Poovammal

Ramana³

et al. 2021

IEEE Access

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Cloud computing is a continuously evolving technology that can enhance agility, availability, collaboration and scalability of data. Blockchain has a secure, immutable ledger which maintains all the transactions along with the timestamp. The blockchain framework and cloud computing technology jointly provides different ways of computational cost reduction. The existing methods help to identify the anonymous documents which are given in the form of requests from the cloud server. If the anonymized document requests are from the authorized users, then cloud provides better security and hence documents are not available for unauthorized users. But the main issue is access rights available for authorized users on sensitive data of the owner. To maintain the privacy the sensitive data are hidden using cryptographic techniques even for authorized users. The method adopted is Linear Elliptical Curve Digital Signature (LECDS) with Hyperledger blockchain, to prevent private data loss. The Linear regression method is used to classify the user information into two classes namely sensitive and non-sensitive. The nonsensitive data is encrypted using RSA and sensitive data is encrypted using LECC method. Modified Spider optimization search Algorithm (MSOA) is used to verify the integrity of outsourced data and search user query information in a cloud server. The hyper ledger blockchain verifies the user policy to create a private network through which the user communicates the cloud. In the analysis of the proposed method, the results are evaluated using various performance metrics such as security, throughput, classification accuracy and error rate.

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Section: Related Workmentioning

confidence: 99%

Linear Elliptical Curve Digital Signature (LECDS) With Blockchain Approach for Enhanced Security on Cloud Server

Sowmiya

Poovammal

Ramana³

et al. 2021

IEEE Access

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“…The function of validity judgment is employed to calculate the baseline of historical reference day and average load during the execution period of each user by fetching the load data, historical reference day load data, and users' indicators on the chain [5]. It is noteworthy that the user's baseline load for peak shaving response is calculated from the average load curve of the five working days before the response day and can be represented as:…”

Section: 41mentioning

confidence: 99%

“…It is the development trend of DR to guide users to adjust their electricity consumption behaviour with market-oriented prices or incentive signals, i.e. to modify the electric load diagram (lowering it, increasing it, or shifting it horizontally) [5]. In typical international electricity markets, such as PJM in the United States and the national electricity market in Australia, corresponding to the electricity transactions with different time scales and trading objects, DR can not only participate in the electric energy market but also plays a role in the capacity market and auxiliary service market [6,7].…”

Section: Introductionmentioning

confidence: 99%

Blockchain‐based framework of power demand response in China

Yan

Huang

Chen

et al. 2021

IET Renewable Power Gen

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Demand response is recognized as an effective solution for eliminating power fluctuations and satisfying capacity constraints in power systems. A growing customer base equipped with energy storage and intelligent power meter on the demand side has resulted in the strong interest of China's power companies in demand response. However, most exiting demand response programs in China are based on a centralized framework, which is easier for management, but cannot support a large number of scattered small-scale users' participation effectively. Therefore, taking the desired features of blockchain technology, such as decentralization, trustworthiness, trackability, and immutability into consideration, the applicability of blockchain in demand response is analyzed. On this basis, a new blockchain-based framework of China's typical demand response programs is proposed, in which consensus mechanism, encryption algorithm, and smart contract of blockchain are applied to the process of invitation, bidding, and settlement in demand response. Furthermore, the development suggestions of China's demand response based on blockchain technology are put forward from the aspects of trading products, credit management, and platform construction at the end of this work.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Afzal et al used the blockchain in energy management that involved load-side demand, smart homes and the internet of things (IoT) [19]. Sciume et al deployed actual blockchain networks in a laboratory setting that simulated a realistic scenario to demonstrate the feasibility of the application of the technology [20]. Yang et al used the blockchain as a means to reduce each prosumer's cost and the overall cost of a system by developing a trading algorithm [21].…”

Section: Introductionmentioning

confidence: 99%

“…The aforementioned works exhibit the following limitations. (i) Some energy management schemes do not consider low level control in a hierarchical model [12,13,15,18,[20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%