A Methodology for Evaluating How Product Characteristics Impact Choice in Retail Settings with Many Zero Observations: An Application to Restaurant Wine Purchase

An approach is developed to examine Color spray the impact of product characteristics on choice using a quantity-dependent hedonic model with retail panel data.Since panel data for individual products from retail settings can include a large number of zero sales, a modification of the zero-inflated Poisson (ZIP) regression model is proposed for est

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Optimal Bidding and Operation of a Power Plant with Solvent-Based Carbon Capture under a CO2 Allowance Market: A Solution with a Reinforcement Learning-Based Sarsa Temporal-Difference Algorithm

In this paper, a reinforcement learning (RL)-based Sarsa temporal-difference (TD) algorithm is applied to search for a unified bidding and operation strategy for a coal-fired power plant with monoethanolamine (MEA)-based post-combustion carbon capture under different carbon dioxide (CO2) allowance Emergency Gear trays market conditions.The objectiv

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