BDASG-2023: Big Data Analytics Framework for Smart Grid Amity University Noida, India, January 29-30, 2023 |
Submission link | https://easychair.org/conferences/?conf=bdasg2022 |
Abstract registration deadline | June 30, 2022 |
Submission deadline | August 15, 2022 |
BDASG-2023 is a CAll FOR BOOK CHAPTER
Submission Guidelines
All book chapters must be original and not simultaneously submitted for publication/consideration in any other book, journal or conference.
Interested authors may submit an Abstract (in around 200-500 words) along with the title of chapter, authors details, and affiliations through easychair.
List of Topics
Background, Notion for Today's Electric Grid, Futuristic Smart Grids and Other Energy Systems, Energy in Numbers, Self-Healing and Adaptiveness, Cyber Security and Privacy, Edge Analytics involvement
- Chapter-2:Technical Impediments and possibilities for Smart Grid
Edge Analytics: EVs, DGs, RESs, ESSs, Consumers and Smart Cities, Self-Healing & Adaptiveness Power System, Smart Transmission and Distribution Networks, AMI, Large Wired /Wireless Communication Infrastructure, IEDs/IDCs in Smart Grid
- Chapter-3: Why? Big Data for Smart Cities
Power in Bigdata, Intelligent Communication Devices and Data Generations, Smart Metering, Smart Cities, EVs, DGs, RESs and ESS Integration, Flow of Huge Volume Data, Big Data Meets the Smart Electrical Grids, Large Data Devices Output.
- Chapter-4: Big Data for Smart Grid: A Way Forward
Power and Energy in Numbers, Energy’s Internet: Evolution of Big Data and Cloud, Energy Cloud, Cloud Computing for Smart Grid and Big Data Analysis, Data Storage, Data Access, Intelligent Processing Techniques for Big data.
- Chapter-5: Big Data Analytics
Background, Advancement in Data Mining Methods, Learning for Big Data Analytics, 4 Vs of Big data, Data Science, Cloud and Edge Computing, Advanced Machine Learning for Data Analytics, Selection, Visualization, Correlation, Forecasting, Classification and Clustering of Data.
- Chapter-6: Intelligent Computational Tools and Methods for Big Data Analytics and High-Value Action
Tools and Software used in AI Machine Learning and Data Mining, Data Bases and Framework Approaches, Analytical & Descriptive Models, Diagonem’s Model, Predictive and Prescriptive Model, Toward Situational Intelligence.
- Chapter-7: Smart Grids: Data Generation and Analysis
Smart Grid Communication and Measurement Technologies, Monitoring and Control of Data, PMU, WMS, AMI, Multi-Agent System, Smart Meter, and Smart Cities Development, Integration of Renewable Generation EVS and ESS, DGs, Optimal Real-Time Price Algorithm, Dynamic Energy Management System
- Chapter-8: Big Data for Smart Grid Communications
Wired and Wireless Communication Networks, Large Multi-Input Multi-Output (MIMO) System, Multiple MIMO Model, False Data Detection of Linear/ Non-Linear System, Real-Time Intrusion Detection and Cyber Threats
- Chapter-9: Bigdata and Smart Grid: Implementation-based Case Study.
Smart Cities, Smart Meters and Transportation Case Study, Electric Vehicle Case Study in Smart Grid, Power System’ Cyber Security
- Chapter-10:Big Data for Smart Grid: Future Direction and Road Map
The main purpose of this chapter is to discuss the operational guidelines and standardization, operational parameters such as modeling aspects, major drivers, and technical aspects linked with the implementation of big data in smart grid. It also deals with future directions and roadmap of big data for smart grid towards implementation.
Committees
Editors
- Dr. R. K. Viral, EEE-ASSET, Amity University Uttar Pradesh, Noida, U.P., India
- Dr. Divya Asija, EEE-ASET, Amity University Uttar Pradesh, Noida, U.P., India
- Dr. Surender Reddy Salkuti, Department of Railroad & Electrical Engineering, Woosong University, Republic of Korea
Publication
- BDASG-2023 is call for book chapters and would be published in-CRC Press, Taylor & Francis Group, U.K.
Contact
All questions about submissions should be emailed to rviral@amity.edu, dasija@amity.edu,surendder@wsu.ac.kr