Probabilistic graphical models (PGMs) can effectively deal with the problems of energy
consumption and occupancy prediction, fault detection and diagnosis, reliability analysis …

The work reported in this paper evaluates the performance of the turbo-generator subsystem
of a thermal power plant by employing a particle swarm optimization method. The majorly …

In this paper we use risk management techniques to evaluate the effects of some risk factors
that affect the energy production of a wind farm. We focus our attention on three major risks …

The acceptance of wind power has been increased in power systems because of
environmental problems and production cost of conventional generation units. High …

One of the most critical factors in using systems is their reliability. The reliability study aims to
help understand the probable nature of equipment failure during use and establish reliability …

The wind power generated by a wind plant has a stochastic nature due to randomness in the
wind speed. Although the empirical distribution of the wind power has been extensively …

Abstract Energy saving in User Equipment (UE) is one of the important issues for limited
sources of power in the device. It is critical for the UE to maximize its energy efficiency. In this …

Research on reliability indices has received considerable attention recently in the field of
reliability. In this work, two new reliability indices—multi-point bounded-covering availability …

The Markov analysis is a technique for modeling system state transitions and calculating the
probability of reaching various system states. While it is a proper tool for modeling complex …

Discrete repairable degradation systems can be modeled by a homogeneous discrete-time
second-order semi-Markov chain with finite state space for theoretical and practical sake. In …