Abstract
Transportation electrification has become a prominent area of research and investment, especially in the last decades, regarding the increasing concerns for environmental sustainability. In this manner, there are different studies realized on electric vehicles (EVs), especially from the power system integration point of view to enable a more extensive penetration without causing adverse impacts on system operation. Different approaches for the direct and indirect management of EVs based charging demand in power systems have already been proposed in the literature as well as employed in the industry. In this study, from an indirect management point of view, a smart dynamic pricing approach based on a fuzzy logic controller based decision-making structure is proposed for EV charging in a distribution system. The proposed new decision-making method considers dynamically varying as well as static operational issues together with the social welfare of EV owners to provide real-time decisions compared to existing studies considering the wider EV charging service pricing topic from a different perspective. © 2020 IEEE.

Abstract
E-commerce facilitates the internationalization of companies at a low cost and enables companies to create a close relationship with their target audience. Often, to increase their sales volume, companies activate recommendation systems in their online stores. This study aims to investigate whether the usage of similar product recommendation systems influences future consumer purchases. Hence, a questionnaire survey was conducted, which had 160 answers. Thus, the factor “moment at which the product suggestions appear” is a variable which has a significant impact regarding online purchases (leading to, for example, impulse purchases). Regarding the form of the suggestions (esthetics, typography or colour), this has the greatest impact of the variables we analysed. Still further, a statistically significant association (chi square test) was found between occupation of the consumer (being a student or having a specialized profession) and making online purchases.

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Large horsepower induction motors play a critical role in the operation of industrial facilities. In this respect, the distribution network operators dedicate a high priority to the operational safety of these motor loads. In this paper, the induction motor starting is modeled analytically and in a semi-static fashion. This model is imbedded in a convex distribution system restoration problem. In this optimization problem, it is aimed to determine the optimal status of static loads and the optimal dispatch of distributed generators such that: a) the induction motors can be reaccelerated in a safe way and, b) the total power of static loads that cannot be supplied before the motor energization, is minimized. The proposed optimization problem is applied in the case of a distribution network under different simulation scenarios. The feasibility and accuracy of the obtained results are validated using a) off-line time-domain simulations, and b) Power Hardware-In-the-Loop experiments.

Abstract
This paper shows that the platforms' private information on demand may explain the empirical observation that platforms like Amazon resell high-demand products, while acting as marketplace for low-demand goods. More precisely, the paper examines the strategic interaction between a seller and a better informed platform within a signalling game. We consider that the platform may choose between two distinct business models: act as a reseller or work as a pure marketplace between the buyers and the seller. The marketplace mode, which allows to internalize the spillover between the platform's sales and the seller's direct sales is always preferred for a low-value good. The reselling mode, which allows the platform to take advantage of its private information, may be selected in the case of high-value goods provided that (i) the externalities between direct sales and platform sales are not too strong and (ii) the difference between consumers' willingness to pay for the high and the low-value goods is large enough. Under these conditions, the game displays a Least-Cost Separating Equilibrium in which the platform works as a marketplace for low-demand goods, while it acts as a reseller in the case of high-demand goods.