This paper applies the principles of distribution locational marginal pricing (DLMP) to unbalanced three-phase networks. We first propose a linear model for AC optimal power flow derived through series approximation and reformulation techniques. Then scenario-generation algorithm is proposed properly uncertain parameters in model. Through No U-Turn sampler (NUTS) based algorithm, probability de...

Finland, among the first to adopt mobile broadband services, faces rapid growth of mobile data traffic. Therefore, Finnish mobile operators continually invest in their radio access networks to handle this growth, which represents an attractive revenue source. This study presents a demand curve estimate for mobile broadband data traffic, which takes into account the impact of technology evolutio...

Optimal screening is one of the basic models of contracting under incomplete information, and we study the problem in a quality pricing application. We present a simple numerical method for solving the pricing problem when the firm has limited information about the buyers’ utility functions. In the method, the firm learns the optimal price schedule as the demand data is collected. We examine wh...

We review optimal quantization methods for numerically solving nonlinear problems in higher dimension associated with Markov processes. Quantization of a Markov process consists in a spatial discretization on finite grids optimally fitted to the dynamics of the process. Two quantization methods are proposed: the first one, called marginal quantization, relies on an optimal approximation of the ...

Locational Marginal Pricing (LMP) is a method for energy pricing in deregulated power systems. Loss and congestion cause different prices for energy at load or generation buses. In this pricing method there is a different between payments of customers and revenue of generators which is called Merchandizing Surplus (MS). Independent System Operator (ISO) receives MS and generally renders it to T...