Within this talk the advantages of using intensified Design of experiments (iDoE) in combination with hybrid modeling will be demonstrated. In detailed upstream and downstream showcases the applied ...
Abstract: Data-driven soft sensors have been widely applied in thermal power plants. However, the consistency of spatio-temporal features and the explicit interpretability in data-driven soft sensors ...
Abstract: This study presents a novel soft sensor modeling algorithm for industrial processes, known as the hierarchical attention-based quadruple S (HAQS) model, specifically designed to uncover ...
Frequency Balances Model (FBM), described in Creus-Martí et al (2021). Bayesien Principal Balances Model (BPBM), presented in Creus-Martí et al (2022). The model described in Creus-Martí et al (2018) ...
A practical guide to OpenCode — from your first prompt to custom agents, skills, plugins, and MCP integrations. Built around clear mental models and real examples, not marketing. Who this is for: ...
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