Data Consumption-Aware Load Forecasting Scheme for Smart Grid Systems

Kaneriya, Shriya; Tanwar, Sudeep; Nayyar, Anand; Verma, J. P.; Tyagi, Sudhanshu; Kumar, Neeraj; Obaidat, Mohammad S.; Rodrigues, Joel J. P. C.

doi:10.1109/glocomw.2018.8644096

Cited by 22 publications

(7 citation statements)

References 16 publications

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“…Due to the problem of economic power dispatch, distributed time delays are introduced in communication channels [87]. To address the same, authors in [88] proposed a distributed consensus protocol based on synchronous communication parameters to reduce real-lags in energy transfer among peer nodes in SG.…”

Section: B Role Of Bc and Consensus Mechanisms In Sgmentioning

confidence: 99%

A Survey on Decentralized Consensus Mechanisms for Cyber Physical Systems

et al. 2020

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Modern industry 4.0 applications are shifting towards decentralized automation of computing and cyber-physical systems (CPS), which necessitates building a robust, secure, and efficient system that performs complex interactions with other physical processes. To handle complex interactions in CPS, trust and consensus among various stakeholders is a prime concern. In a similar direction, consensus algorithms in blockchain have evolved over the years that focus on building smart, robust, and secure CPS. Thus, it is imperative to understand the key components, functional characteristics, and architecture of different consensus algorithms used in CPS. Many consensus algorithms exist in the literature with a specified set of functionalities, performance, and computing services. Motivated from these facts, in this survey, we present a comprehensive analysis of existing state-of-the-art consensus mechanisms and highlight their strength and weaknesses in decentralized CPS applications. In the first part, we present the scope of the proposed survey and identify gaps in the existing surveys. Secondly, we present the review method and objectives of the proposed survey based on research questions that address the gaps in existing studies. Then, we present a solution taxonomy of decentralized consensus mechanisms for various CPS applications. Then, open issues and challenges are also discussed in deploying various consensus mechanisms in the CPS with their merits and demerits. The proposed survey will act as a road-map for blockchain developers and researchers to evaluate and design future consensus mechanisms, which helps to build an efficient CPS for industry 4.0 stakeholders.

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Section: B Role Of Bc and Consensus Mechanisms In Sgmentioning

confidence: 99%

A Survey on Decentralized Consensus Mechanisms for Cyber Physical Systems

et al. 2020

Self Cite

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“…Each transaction information is recorded in an information block called ElectroBlocks. 39 Each ElectroBlocks preserves the information of the requester and sender nodes, their balances and storage amounts, and current transaction with the network.…”

Section: Electroblocks: the Proposed Schemementioning

confidence: 99%

“…An incentive-based mechanism based upon the demand bidding was proposed by Khajavi et al 5 Weather changes can also be used to forecast demands to regulate the supply. 6 A traditional SG network is based upon the centralized architecture, which suffers from various drawbacks such as security [7][8][9] and storage and data management 10 along with socioeconomic issues that include obsolete technology, investment, and privacy. [11][12][13] Table 1 shows the insight to recent projects on peer-to-peer energy exchange proposals.…”

Section: Introductionmentioning

confidence: 99%

ElectroBlocks: A blockchain‐based energy trading scheme for smart grid systems

Tanwar

Kaneriya

Kumar

et al. 2020

Int J Communication

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Summary Smart grid systems are widely used across the world for providing demand response management between users and service providers. In most of the energy distributions scenarios, the traditional grid systems use the centralized architecture, which results in large transmission losses and high overheads during power generation. Moreover, owing to the presence of intruders or attackers, there may be a mismatch between demand and supply between utility centers (suppliers) and end users. Thus, there is a need for an automated energy exchange to provide secure and reliable energy trading between users and suppliers. We found, from the existing literature, that blockchain can be an effective solution to handle the aforementioned issues. Motivated by these facts, we propose a blockchain‐based smart energy trading scheme, ElectroBlocks, which provides efficient mechanisms for secure energy exchanges between users and service providers. In ElectroBlocks, nodes in the network validate the transaction using two algorithms that are cost aware and store aware. The cost‐aware algorithm locates the nearest node that can supply the energy, whereas the store‐aware algorithm ensures that the energy requests go to the node with the lowest storage space. We evaluated the performance of the ElectroBlocks using performance metrics such as mining delay, network exchanges, and storage energy. The simulation results obtained demonstrate that ElectroBlocks maintains a secure trade‐off between users and service providers when using the proposed cost‐aware and store‐aware algorithms.

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“…With the continuous development of network technology and information technology, the digital degree of power grid enterprises is gradually improved, the application of equipment (asset) operation and maintenance lean management system (PMS2.0) is deepening, while the continuous increase of information system, the enterprise data is also growing greatly [2]. Extension of digital information enables them to realise on an increased efficiency of the electrical grids, and further control the network dynamically to improve the security and reliability [3]. With the increasing increase of substation scale, the grid structure is increasingly complex, equipment failure occurs, the traditional equipment failure prediction lacks the systematic scientific support and effective early warning and decision-making mechanism.…”

Section: Introductionmentioning

confidence: 99%

Application of Text Mining Method for Classification of Work Order in Power Grid Production

Zhao

Zhang

Gao

et al. 2021

Proceedings of CECNet 2021

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With the completion of the State Grid Corporation’s maintenance system, the number of substations has increased dramatically, the grid structure has become increasingly complex, and there have been internal and external reasons such as the contingency of emergencies, and equipment failures have occurred from time to time. This paper aims to explore the potential value of massive data, show the laws of business data, and further give full play to the comprehensive support of data for enterprise operation and production management, and promote the realization of intelligent and lean power grid core business. This paper uses power system data to provide reliable data support for equipment defect full cycle management and equipment state analysis through ANOVA and neural network statistical analysis. At the same time, we use Term Frequency-Inverse Document Frequency(TF-IDF)Algorithm to calculate the importance of keywords and construct the power keyword library. By constructing Bayesian text classification model, we can classify the defect parts, defect categories and defect causes automatically. This method can be applied to the construction of power grid production work order text analysis system, improve the data quality and system automation level, help the business department to improve work efficiency and provide the basis for power grid business analysis. This method is applied to the data cleaning of the primary production equipment of power grid enterprises, and the accuracy of data error correction for equipment defects with voltages above 110kV is between 93% and 95%, and good results have been achieved.

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Data Consumption-Aware Load Forecasting Scheme for Smart Grid Systems

Cited by 22 publications

References 16 publications

A Survey on Decentralized Consensus Mechanisms for Cyber Physical Systems

A Survey on Decentralized Consensus Mechanisms for Cyber Physical Systems

ElectroBlocks: A blockchain‐based energy trading scheme for smart grid systems

Application of Text Mining Method for Classification of Work Order in Power Grid Production

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