ENHANCING ENERGY EFFICIENCY IN INDUSTRIAL ENTERPRISES THROUGH ADVANCED AUTOMATION AND CONTROL SYSTEMS
Keywords:
energy efficiency, industrial enterprises, automation, control systems, smart sensors, machine learning, data analytics, environmental impactAbstract
The article addresses the issue of energy efficiency in industrial enterprises and explores the potential of advanced automation and control systems in achieving this goal. By integrating smart sensors, machine learning algorithms, and data analytics, these systems can significantly reduce energy consumption and improve the overall efficiency of industrial processes. The article also discusses the benefits of such systems, including reduced operating costs, increased production capacity, and minimized environmental impact.
References
Saidur, R., Abdelaziz, E. A., Demirbas, A., Hossain, M. S., & Mekhilef, S. (2011). A review on biomass as a fuel for boilers. Renewable and sustainable energy reviews, 15(5), 2262-2289.
Lee, J., Bagheri, B., & Kao, H. A. (2015). A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing letters, 3, 18-23..
Bunse, K., Vodicka, M., Schönsleben, P., Brülhart, M., & Ernst, F. O. (2011). Integrating energy efficiency performance in production management–gap analysis between industrial needs and scientific literature. Journal of Cleaner Production, 19(6-7), 667-679.
"Machine Learning for Industrial Applications: Algorithms, Techniques, and Challenges" by Pedro Larrañaga and José A. Lozano. This book provides an overview of machine learning algorithms and their applications in industrial settings, including energy efficiency and automation.
Stouffer, K., Falco, J., & Scarfone, K. (2011). Guide to industrial control systems (ICS) security. NIST special publication, 800(82), 16-16.
POSSIBILITIES OF USING YENKA PROGRAM TECHNOLOGY TO TEACH PHYSICS Eshkulov Muhriddin Urozboy ogli. MU Eshkulov, AA Shermukhammedov
FIZIKANI O'QITISHDA AXBOROT SAYTLARIDAN FOYDALANISH IMKONIYATLARI. A Shermukhammedov, M Eshqulov, S Qushaqov-Engineering problems and innovations, 2023
МНОГОПАРАМЕТРИЧЕСКАЯ ОПТИМИЗАЦИЯ АЛГОРИТМА ОБРАБОТКИ ЭКСПЕРИМЕНТАЛЬНЫХ ДАННЫХ ТРАНСПОРТНЫХ ИЗМЕРЕНИЙ ДЛЯ ДИЭЛЕКТРИКОВ. Мухриддин Эшкулов, Шерзод Кушаков, Абдулатиф Шермухаммедов. НАУЧНОЕ ОБОЗРЕНИЕ 3.11.2023
