Significance of Data-driven practice
Data-driven practice, as defined in Environmental Sciences, is developed through the integration of popular data analytics methods. The approach focuses on both modeling and control aspects, specifically within the context of a boiler forced draft system. This combination of data analytics techniques aims to improve the understanding and management of the system.
Synonyms: Evidence-based practice, Research-based practice
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The concept of Data-driven practice in scientific sources
Data-driven practice, as highlighted in the text, involves utilizing data analytics methods for modeling and controlling systems, specifically demonstrated through the development of a data-driven approach for a boiler forced draft system.
From: Sustainability Journal (MDPI)
(1) The paper develops a data-driven practice by combining some popular data analytics methods in both modeling and control of the boiler forced draft system.[1]