Energy Analytics for factory energy efficiency is one of the key improvement processes for machinery and equipment in the establishment of smart manufacturing. Currently, the manufacturing industries need upgrade towards the benefits that extend beyond just the production of goods into functions like planning, supply chain logistics, and even product development. Energy flexibility and efficiency are becoming more important than just automation. Energy consumption reduction and sustainability are important for companies concerning the high price for energy and the planned phasing-out of nuclear power. Strategies need to be framed to overcome these obstacles. This paper discusses real-time problems through a case study that includes descriptive, diagnostic analysis and explains further about the impacts of building predictive analytics for the energy system.
CITATION STYLE
Srikanth, M., Prasanth, S., Viswanathan, T., & Ram Shankar, C. S. (2021). Intelligent Analytics for Factory Energy Efficiency. In Lecture Notes in Mechanical Engineering (pp. 57–63). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-5689-0_6
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