For convenience, a plaintext form of the workspace for each ALPHA run is provided in an m-file format. Running this version of ALPHA requires Matlab/Simulink with StateFlow 2016b. This file contains a series of ALPHA V2.2 simulations (as of 2017.01.12) used to support a sample technology walk analysis. These ALPHA runs are referenced in the Response to Comments for the 2017 Final Determination on the Appropriateness of the Model Year 2022-2025 Light-duty Vehicle Greenhouse Gas Emissions Standards under the Midterm Evaluation.ĪLPHA v2.2 Technology Walk Samples (zip) (29.86 MB, January 2017) In response to stakeholder comments on the MTE Proposed Determination, EPA utilized a version of ALPHA capable of executing this sample technology walk analysis to further corroborate EPA’s assessment that vehicles equipped with conventional technologies can support compliance with the MY2025 targets without the need for extensive electrification. Peer Review of EPA’s Response Surface Equation Report (PDF) (125 pp, 2.09 MB, EPA-420-R-18-006, May 2018) The RSEs can then be used to reproduce the ALPHA model results in real time for determining the effectiveness of vehicle technologies.ĮPA commissioned RTI International to conduct an independent peer review of the Response Surface Equations methodology. The RSM is used to computationally access a complete set of ALPHA model results using a collection of response surface equations (RSEs). ALPHA is under active development and the versions of the model presented below represent the state of the package at particular points in time.īecause operating the ALPHA model in real time to conduct full vehicle simulations is cost and time prohibitive, EPA developed a method of reproducing ALPHA model effectiveness values using an industry standard statistical methodology known as a Response Surface Model (RSM). The ALPHA model shares an underlying structure with EPA's Greenhouse Gas Emissions Model (GEM) used for medium- and heavy-duty vehicle compliance calculations. ALPHA is an in-house vehicle simulation model used by EPA, and is not intended to be a commercial product. It is a physics-based, forward-looking, full vehicle simulator, capable of simulating various vehicle types and powertrain technologies.ĪLPHA was used by EPA to inform the 2016 Draft Technical Assessment Report of light-duty vehicle greenhouse gas standards for model years 2022-2025, as well as the 2016 Proposed Determination under the Midterm Evaluation. Benchmarking Advanced Low Emission Light-Duty Vehicle TechnologyĮPA’s ALPHA model is a full vehicle simulation model which estimates the greenhouse gas (GHG) emissions from light-duty vehicle sources.MTE of Light-duty Vehicle Standards for Model Years 2022-2025. ![]() If you're looking for the latest information on building trading strategies from a quantitative approach, this book has you covered. Adds new alpha examples with formulas and explanations.Organizes content in a practical and easy-to-follow manner.Provides more references to the academic literature.The new chapters cover topics including alpha correlation, controlling biases, exchange-traded funds, event-driven investing, index alphas, intraday data in alpha research, intraday trading, machine learning, and the triple axis plan for identifying alphas. Nine chapters have been added about alphas – models used to make predictions regarding the prices of financial instruments. Discover the ins and outs of designing predictive trading modelsĭrawing on the expertise of WorldQuant's global network, this new edition of Finding Alphas: A Quantitative Approach to Building Trading Strategies contains significant changes and updates to the original material, with new and updated data and examples.
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