Interaction between Technical and Economic Benefits in Distributed Generation

Vimala, Saravanan; Ramachandran, M; Selvam, Manjula

doi:10.46632/eae/1/2/3

Cited by 6 publications

(2 citation statements)

References 72 publications

(23 reference statements)

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“…For example, in [17], the authors proposed a waveletbased IDS for the detection of intrusions into the power grid, which demonstrated high accuracy and low false positive rates. Similarly, in [18], authors developed a Fourier-based IDS for power grid security that achieved high detection rates and low false alarm rates.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

Validation of a Machine Learning-Based IDS Design Framework Using ORNL Datasets for Power System With SCADA

Zaman,

Upadhyay,

Lung

2023

IEEE Access

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Supervisory Control and Data Acquisition (SCADA) systems are widely used for remote monitoring and control of industrial processes, such as oil and gas production, power generation, transmission and distribution, and water treatment. Despite the enhanced accessibility, control, and data availability afforded by recent advances in communication technologies, the utilization of these technologies exposes critical infrastructures such as power systems to potential cyber threats. A Machine Learning (ML)based Intrusion Detection System (IDS) seems promising; however, the development of ML models often requires custom methodologies for data preprocessing and training. This strategic approach is necessary for creating high-performance models that can be robustly evaluated and seamlessly integrated into real-time systems. As a result, we propose an ML-based IDS design framework for a SCADA-based power system incorporating effective modeling aspects, such as dataset preprocessing to ensure accurate representation, data augmentation for achieving a balanced dataset, automated feature selection to reduce dimensionality, and rigorous model training and testing procedures. To substantiate our proposed design framework, we conducted a series of experiments using a publicly available ORNL (Oak Ridge National Laboratory) dataset for . The evaluation process encompasses efficient validation techniques with unseen data. Furthermore, the augmented dataset emerged through the aggregation of readings from four Phasor Measurement Units (PMUs) collected over a specific time span into a unified dataset. Among the assessed classifiers, the Random Forest (RF) model, trained on an augmented and balanced dataset, outperformed others, yielding an F1 score of 94.09% during testing with unseen data.

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Section: Background and Literature Reviewmentioning

confidence: 99%

Validation of a Machine Learning-Based IDS Design Framework Using ORNL Datasets for Power System With SCADA

Zaman,

Upadhyay,

Lung

2023

IEEE Access

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“…Krishna Kumar TP.et.al /REST Journal on Data Analytics and Artificial Intelligence, 1(4) 2022,[18][19][20][21][22][23][24][25] …”

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confidence: 99%

Financing practices of Micro and Small Entrepreneurs using WSM MCDM Method

Ramachandran²,

Sivaji³

et al. 2022

jdaai

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A small or micro enterprise is usually a one-person show. A partnership is held by a firm or corporation Even in small units, operations are mainly carried out by shareholders or Carried out by one of the directors. In practice, others are sleeping partners or directors, essentially helping out financing. A company is classified If the paid up capital is less than or equal to 20,000 Birr As micro. Similarly, a company has its paid-up capital when less than or equal to Birr 500,000 considered small. However, it is the size of jobs or number of employees in MSE Does not provides information about Key Differences between Small Business and Small Business are scale and size. A small business is a type of small a business employing less than 10 persons, small Businesses with up to 500 employees including Haksever has fewer than 500 employees Define and characterizes a small business with shows following characteristics Management is independent; usually the manager is also the owner. Working Stress Design Method Reinforced A concrete design method is used Concrete is elastic, whereas steel and concrete are elastic in nature, in which the relationship between loads and stresses is linear. Working pressure method (WSM) This traditional design is perfect.

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RETRACTED: Economic, environmental, and reliability assessment of distribution network with liquid carbon-based energy storage using multi-objective group teaching optimization algorithm

Shen

Bohlooli³

2023

Journal of Cleaner Production

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Interaction between Technical and Economic Benefits in Distributed Generation

Cited by 6 publications

References 72 publications

Validation of a Machine Learning-Based IDS Design Framework Using ORNL Datasets for Power System With SCADA

Validation of a Machine Learning-Based IDS Design Framework Using ORNL Datasets for Power System With SCADA

Financing practices of Micro and Small Entrepreneurs using WSM MCDM Method

RETRACTED: Economic, environmental, and reliability assessment of distribution network with liquid carbon-based energy storage using multi-objective group teaching optimization algorithm

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