In this immersive lab, participants will dive into the exciting world of predictive analytics by constructing a model focused on energy consumption. With sustainability and efficiency at the forefront of industrial operations, the ability to forecast energy usage accurately is crucial. This hands-on session empowers attendees to harness the power of advanced analytics tools to develop predictive models that optimize energy management strategies.
Throughout the lab, participants will explore foundational concepts of predictive modeling and machine learning techniques tailored to energy consumption data. Using industry-leading tools and methodologies, including AVEVA’s advanced analytics solutions, attendees will learn to preprocess data, select appropriate predictive algorithms, train models, and evaluate their performance.
Key highlights of the lab include practical exercises where participants will manipulate datasets, apply feature engineering techniques, and deploy predictive models to forecast energy consumption patterns. By leveraging real-world data scenarios, attendees will gain insights into how predictive analytics can drive informed decision-making, improve operational efficiencies, and reduce energy costs.
