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This includes subjects such as definition of 'climate projection' versus 'climate forecast', recommendations for the application of scenarios, temporal and spatial resolution, reference periods, treatment of model biases and significance, treatment of different model generations, and optimal use of colour selection and scaling.
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Model generation and parameterization is generally a major challenge, even given a reasonable base of knowledge about the system.
The cost of generating a performance model can be decomposed into different contributions: model setup, model generation, and model retargeting.
Alexander Osterwalder's Business Model Generation and Steve's Udacity Lean LaunchPad Lectures are required reading/viewing.
Model generation and minimal model generation is useful for fault analysis, verification of systems and validation of data models.
Seemingly everyone has seen the results of the book project that Osterwalder led — Business Model Generation — and has seen his "business model canvass" in action.
Particularly effective approaches for start-ups can be found in Eric Ries's The Lean Startup, Alexander Osterwalder and Yves Pigneur's Business Model Generation, and Bill Aulet's Disciplined Entrepreneurship.
However, due to complexity of model generation and analysis, it is still a time consuming process.
A methodology to automate building energy model generation and system analysis is proposed.
The superimposing method using ISAM (for matrix-vug model generation) and MPS (for matrix-fracture model generation) is called SMIM, while superimposing method using MPS (for both of matrix-vug and matrix-fracture models generation) is called SMM.
The framework integrates model building, stability analysis of dynamic systems, surrogate model generation and optimization under uncertainty.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com