Unlocking Economical Benefits through Process Data Analytics in Power Industry
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- 02/11/2023 - 4:00 pm - 4:45 pm IST
In today’s competitive energy landscape, power generation companies face increasing pressures to optimize their operations and boost profitability. One powerful tool that can help them achieve this goal is process data analytics. By harnessing the vast amounts of data generated during power generation processes, companies can uncover valuable insights, make informed decisions, and drive efficiency improvements to yield substantial economical benefits. Join us for an insightful webinar where industry experts and data analysts will explore the potential of process data analytics in power generation. We will focus on the how no-code, low-code features of Seeq can help organizations to optimize their operations and boost profitability. Engineers can learn how advanced analytical techniques can be easily implemented with few clicks in near real-time.
Key topics to be covered include:
- Introduction to Process Data Analytics: Understand the fundamentals of process data analytics and its applications in the power generation industry.
- Analytical Techniques for Efficiency Improvement: Discover specific analytical techniques, such as machine learning, predictive modeling, and anomaly detection, to identify areas for efficiency improvement and cost reduction.
- Predictive Maintenance: Learn how predictive maintenance using process data analytics can minimize downtime and optimize maintenance schedules, leading to significant cost savings.
- Reducing Operational Costs: Find out how process data analytics can help identify areas of excessive resource consumption and enable cost-saving measures.
- Case Studies: Delve into real-world case studies showcasing successful implementations of process data analytics in power generation companies and the resulting economical benefits.
Seeq, a purpose-built platform for the manufacturing industry, being a no-code, low-code platform has proven its potential in most of its implementation in the West, where the plant engineers/operators have adopted the tool for their daily tasks, enabling them to improve the energy efficiency across the value chain. The no-code platform has the potential to empower the shop-floor team to do the analysis and develop the data models to derive insights and foresight to ensure the operations are running efficiently.
Who should attend:
CIOs, CEOs, CTOs, Operations/Process Head, Data Analysts/Scientists, Visualization Engg., Data Engineer, Digital Leaders, Operations Head, Plant Head, Maintenance Head