For thermostatically controlled loads (TCLs) to perform demand response services in real-time markets, online methods for parameter estimation are needed. As the physical characteristics of a TCL change (e.g. the contents of a refrigerator or the occupancy of a conditioned room), it is necessary to update the parameters of the TCL model. Otherwise, the TCL will be incapable of accurately predic...

We developed an inventory model for decaying items with selling price dependent demand in inflationary environment. Deterioration rate is taken as two parameter Weibull distribution. Shortages in inventory are allowed with partial backlogging. Backlogging rate is taken as exponential decreasing function of time. Profit maximization technique is used in this study.

Continuous increase in oil pricing is not only causing difficulties to consumer but the imbalance in demand and supply is impacting the producer and refineries also. Consumer may adjust the demand dynamically as per the price fluctuation but oil major cannot change the production so dynamically. The recommended solution is the latest technology which could optimize the production, meeting the i...

We consider the Shallow-Light Steiner Network problem from a fixed-parameter perspective. Given a graph G, a distance bound L, and p pairs of vertices (s1, t1), . . . , (sp, tp), the objective is to find a minimum-cost subgraph G′ such that si and ti have distance at most L in G′ (for every i ∈ [p]). Our main result is on the fixed-parameter tractability of this problem with parameter p. We exa...

Video-on-demand (VOD) is designed by using content delivery networks (CDN) to minimize the overall operational cost and to maximize scalability. Estimation of the viewing pattern (i.e., the relationship between the number of viewings and the ranking of VOD contents) plays an important role in minimizing the total operational cost and maximizing the performance of the VOD systems. In this paper,...

ASSESSMENT OF ELECTRICITY DEMAND IN IRAN'S INDUSTRIAL SECTOR USING DIFFERENT INTELLIGENT OPTIMIZATION TECHNIQUES M. A. Behrang a , E. Assareh a , M. R. Assari b & A. Ghanbarzadeh c a Department of Mechanical Engineering, Islamic Azad University, Dezful Branch, Iran b Department of Mechanical Engineering, Engineering Faculty, Jundi Shapour University, Dezful, Iran c Department of Mechanical Engi...