Parikshit Vasisht, Sudhakar Ranjan, Rahul J. Jadhav, Prasanna R. Rasal, Nripesh Nrip
{"title":"Artificial Intelligence as a Driver of Industrial Competitiveness","authors":"Parikshit Vasisht, Sudhakar Ranjan, Rahul J. Jadhav, Prasanna R. Rasal, Nripesh Nrip","doi":"10.1109/SSTEPS57475.2022.00060","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00060","url":null,"abstract":"Beyond our wildest dreams, Artificial Intelligence (AI) is changing industrial growth as well as our mode of living. Numerous nations have started national AI programmes to promote the value and usefulness of AI in smart businesses. However, there are problems with the practical use of AI to address current manufacturing concerns that must be disregarded. Finding various applications that may deliver value and satisfy the rising market but also capital demands is now the largest issue. To provide a concise road map for the methodical development and integration of AI in industrial operations, a systematic framework termed as \"Industrial AI\" was presented along with its key enabling technologies. This paper provides a thorough review of the major enabling solutions for industrial AI throughout the manufacturing sector as a whole and how their systematic implementation will help create new opportunities for value creation and prevent issues from emerging yet.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128514122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of Power System in the Presence of Hybrid Flow Controller","authors":"C. Suresh, Angothu Srikanth, Shobha Rani Depuru","doi":"10.1109/SSTEPS57475.2022.00031","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00031","url":null,"abstract":"The operation and scheduling of an electrical power systems needs to balance the requirements as economic as possible. The system has to be included with Flexible AC Transmission (FACTS) devices is to enhance the system performance. With the help of these controllers the transmission capacity, flexibility in control can be achieved. Obtaining solution for objective optimization with conventional methods is a tedious task. Hence the modern evolutionary algorithms are implemented to obtain solution for the optimization problems. In this paper, an optimization problem is formulated by considering different objectives such as loadability of the system, generation fuel cost and transmission losses. The system capability is increased by incorporating one of the popular FACTS shunt- series controllers, known as Hybrid Flow Controller (HFC). This paper analyzes the impact of HFC on optimization problem by presenting results for two cases such as without and with HFC by considering and satisfying system constraints. The results for standard test system supports the proposed method and effect of HFC on system performance.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129089009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gurvinder Kaur, Siddharth Sagre, K. P, Pardeep Kumar, Shireesha I
{"title":"A Recent Technological Development in Physical Education and Risk Mitigation Measures in Health and Educational Institutions","authors":"Gurvinder Kaur, Siddharth Sagre, K. P, Pardeep Kumar, Shireesha I","doi":"10.1109/SSTEPS57475.2022.00078","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00078","url":null,"abstract":"Every element of modern life, including teaching, is rapidly being impacted by artificial intelligence (AI). Through evaluations of academic stability or termination, AI can also offer learners extra support. Even though AI research is still in its infancy, it is important to monitor how it develops and realises its promise over time. We can improve AI's potential for usage in sports activities and modify the nature of physical education (PE), its visualisation, and its consistency. This study analyses the principles and uses of AI in physical education and provides a targeted, in-depth review of the areas of PE innovation where AI might be used, including personalised PE programmes, knowledge distribution, cloud computing, grid management practices, learner assessment, and learner counselling techniques. Our findings show how skilled in applying AI future PE teachers must be. Considering practise implications, this study discusses how AI innovations are impacting all areas of life, including physical education; it emphasises the significance of AI technologies to PE devices based on previous research; it suggests that the consequences of AI for PE may relate to other educational domains; and eventually, it adds to the body of existing publications and discusses potential directions for future research on AI tools in education and sporting activities.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"304 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126684014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ragaleela Dalapati Rao, Padmanabha Raju Chinda, A. N. Kumar
{"title":"Artificial Intelligence-Based Optimal Allocation of Dynaflow Device","authors":"Ragaleela Dalapati Rao, Padmanabha Raju Chinda, A. N. Kumar","doi":"10.1109/SSTEPS57475.2022.00068","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00068","url":null,"abstract":"Controllers for flexible AC transmission systems (FACTS) have been utilised extensively for the purpose of gaining an understanding of various steady state control issues pertaining to power systems. There are a number of different FACTS controllers that can be used, such as the combined controllers, also known as the Dynaflow Controller. This controller is developed by combing a TCPST and a TSSC and are having coordinated control Power flow is monitored using Dynaflow Controller to avoid overburdening by linking the capabilities of TSSC and TCPST. For the purpose of addressing the OPF problem, PMBC algorithm has been proposed. The idea of using Decision Making to determine the optimal placement of a Dynaflow device has been expanded in order to addresses the problems caused by OPF in a variety of scenarios, including normal conditions, contingency scenarios involving the network, and overloaded scenarios, all while taking into account the aforementioned four goals. The proposed methodology is tested on IEEE 30-bus test system.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116727179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}