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Research Paper

Predicting the power of Combined Cycle Power Plant

With the rising share of renewables in the energy mix, there is a need for alternative flexible power capacity to mitigate its intermittency. The emerging role of the aggregator is important in untapping the potential of new flexibility sources. An aggregator bundles the flexibility of distributed generation and demand response, and offers the collective resources to wholesale electricity markets. This technical aggregation is referred to as a Virtual Power Plant (VPP). The main aim of this paper is to work towards a model to estimate flexibility characteristics of aggregates of DR (demand response) and DG (distributed generation) to better provide smart grid services from those aggregates in existing and future wholesale markets. This knowledge is the missing connection to ensure capabilities of real-time response into energy markets with a fixed time control loop. Traditionally this has been done using detailed information on device makeup of a virtual power plant (VPP), i.e with detailed knowledge of flexible device state and their performance capabilities. This low level detailed knowledge requirement presents barriers such as performance and security of private information. Therefore, this paper will investigate the applicability of machine learning techniques using only currently available market information to black box estimate aggregate flexibility characteristics, specifically capacity available during run-time and longevity, the amount of time a power deviation can be maintained.

Published by: Gopi Edimudi, Katika Arshad, Mohammed Muzammil

Author: Gopi Edimudi

Paper ID: V8I2-1259

Paper Status: published

Published: April 13, 2022

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Research Paper

Assessment of Groundwater Quality for Drinking and Irrigation in Watershed Boundary-Bachannapet Region, Jangaon District, Telangana State, India

A of total forty samples were collected and analyzed for major ion chemistry of the groundwater quality and its suitability for drinking as well as irrigation purposes. The pH ranges from 7.76-9.26 and 7.45-8.68 indicating the water is slightly alkaline condition. TDS ranges from 95-655 mg/l and 147-1184 mg/l during pre and post monsoon season. Total Hardness (TH) ranges from 95-655 mg/l and 88-510 mg/l; Chloride ranges from 28-877 mg/l and 22-706 mg/l during pre and post season respectively. The majority of the samples are suitable for domestic purposes due to low to medium hardness, however few samples are described as very hard and unsuitable for domestic, drinking and irrigation purposes. Various indices like Salinity Index, Sodium Absorption ratio (SAR), Kelly’s ratio (KR), Permeability Index (PI) and Water Quality Index (WQI) are used to classify groundwater and surface water for drinking as well as irrigation purposes. Besides this, Piper, Wilcox, and Gibb’s plots were studied for geochemical controls and Hydrogeochemistry of groundwater.

Published by: MD. Ameena Begum, J. Ratnakar

Author: MD. Ameena Begum

Paper ID: V8I2-1247

Paper Status: published

Published: April 12, 2022

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Research Paper

Snowflake Internship/Training Project Report

Snowflake is a SaaS-based data warehouse (DWH) platform that runs over an AWS or MS Azure cloud infrastructure. (You might hear this called data warehouse as a service). Unlike other warehouse solutions, Snowflake utilizes an enhanced ANSI-compliant SQL engine that is designed to work solely on the cloud.

Published by: Y. Swetha, Dr. G Sandhya Devi

Author: Y. Swetha

Paper ID: V8I2-1262

Paper Status: published

Published: April 12, 2022

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Research Paper

DSACSS: Deep Learning-based spectrum allocation with cooperative spectrum sensing for cognitive WSNs

The incorporation of intelligence into wireless sensors is a contemporary paradigm for boosting the effectiveness of wireless sensor networks (WSNs) and the effective use of the radio frequency spectrum. The existing traditional distribution of radio frequencies leads to coexistence issues or resource underutilization. Cognitive sensors with adjustable spectrum sharing might be used to solve this problem. In this field, spectrum management includes spectrum sensing and allocation. Several techniques have been developed to address these issues but complexity and throughput remain a challenging tasks for these networks. In this work, these issues have been addressed and developed a combined approach for spectrum sensing, spectrum allocation, and cluster head selection to improve the overall spectrum utilization and improve the energy utilization. Moreover, the proposed scheme also adapts the deep learning scheme to identify the spectrum of information based on historical patterns. The comparative analysis shows that the proposed approach shows better spectrum detection performance in comparison with KMeans, GMM, KNN, DAG-SVM approaches.

Published by: Vidya E. V., B. S. Shylaja

Author: Vidya E. V.

Paper ID: V8I2-1217

Paper Status: published

Published: April 12, 2022

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Research Paper

The Classic Launcher Two-Wheeler Showroom Android Application

The Classic Launcher is a bike display area android application, which can deal with all client subtleties carefully. Individuals are dealing with issues due to the disconnected framework like adjusting dates get due, likewise deal with issues while buying the vehicle. Till the current ten years, there isn't an android application for the bike display area. Help individuals by saving their time, and get their decision vehicle with shading, the frill is likewise accessible on the web. So this application helps in buying vehicles, don't bother keeping page receipt, save individuals time with pick and drop home assistance, online accessible 24*7.

Published by: Sakshi Mahalle, Shivani Dahake, Bhagyashri Ghatol, Renu Ingle, Vaishnavi Khandekar, Sunpreet Kaur Nanda, Vaishali Bhagat

Author: Sakshi Mahalle

Paper ID: V8I2-1238

Paper Status: published

Published: April 11, 2022

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Research Paper

Employee management system using spring boot and react JS

In this era of technological developments, people tend to use more sophisticated data management with good performance. Web Pages are the face of the Internet, which helps users to access information across the Internet. Web Pages are made by developing them using various tools and technology stacks like HTML defines the structure, CSS decorates the structure, JavaScript Enables us to have Dynamic Web Pages or Applications, One of the famous stacks which are put to usage for decades is the JEE of Java and Spring with Spring Boot. Therefore these latest technologies named Spring Boot and React are playing a very prominent role in managing the data. Sprint Boot is considered a lightweight framework and helps in retrieving and storing the data with less complexity. React JS is extremely competent and handles dependencies. Our model helps in managing employees' data in a database with Sprint boot as backend and react JS as front end. Axios are used to connect the frontend with the backend.

Published by: Alluri Harshika

Author: Alluri Harshika

Paper ID: V8I2-1252

Paper Status: published

Published: April 8, 2022

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