https://orcid.org/0000-0002-3569-5047
![Sample our Engineering & Technology journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5933/TOC-Subject-Sample-2021-Engineering-Tech.jpg"})
Abstract
Demand response (DR) modifies the pattern from a straightforward to an interactive one, allowing for the investigation of consumer participation in the power market and progress. The most important technique for evaluating the status of DR program implementation among those discussed in the earlier literature is consumer baseline load (CBL). Without using the DR program, CBL depicts the consumer consumption pattern that might emerge. There hasn’t been much study done on CBL computation for residential consumers, and most of it ignores the influence of weather on these estimates. This study describes a novel method for computing CBL for residential consumers in the context of a smart grid. The findings show how weather affects CBL estimations and consumer desire to upgrade home insulation. The proposed method is examined in four test cases. The day-wise load data for the first test case has been collected from the NO1 region of Nord Pool and the remaining three test case data have been collected from the Connecticut and New Hampshire region of New England ISO.
Correction Statement
This article has been corrected with minor changes. These changes do not impact the academic content of the article.
Additional information
Notes on contributors
Ankit Kumar Sharma
Ankit Kumar Sharma has over 13 years of teaching, research, and academic experience. Currently he is working as Head & Associate Professor in Department of Electrical Engineering, University of Engineering and Management, Jaipur, India.
Akash Saxena
Akash Saxena received his Ph.D. in Electrical Engineering from Malaviya National Institute of Technology, Jaipur in 2015. He is working as Professor in Department of Electrical Engineering, Central University of Haryana, India with almost two decades of teaching.
Dheeraj Kumar Palwalia
Dheeraj Kumar Palwalia has over 26 years of teaching, research, and academic experience. Currently he is working as Professor in Department of Electrical Engineering and Dean Academics, Rajasthan Technical University, Kota, India.
Ramesh C. Bansal
Ramesh C. Bansal is a Professor at University of Sharjah and Extraordinary Professor at University of Pretoria. He has over 25 years of teaching and research experience and previously worked at University of Pretoria, University of Queensland, University of South Pacific, and BITS, Pilani. He has published over 400 journal/conf. papers, books/book chapters, and he is AE/Editor of many reputed journals. He has Google citations of over 17000 and h-index of 64. He has supervised 25 PhD, and 5 Post Docs. He is a Fellow of IET-UK, IE (India), and SAIEE (South Africa).