Modelling Power Output at Nuclear Power Plant by Neural Networks (2010)

Welcome to 'Nuclear Insights' where we explore cutting-edge advancements in nuclear technology. In today’s episode, we dive into neural network innovations for industrial forecasting. Using real data from a boiling water reactor in Olkiluoto, Finland, we compare Feed-Forward and Elman Neural Networks for power output prediction. With techniques like cross-correlation analysis and metrics such as NMSE, discover why ENN stands out and the challenges of tackling nonstationary processes.