The energy demand all over the world is increasing rapidly day by day. In traditional power systems, plants are located far away from consumer’s premises. This in turn causes a substantial amount of loss both transmission and distribution. general, distribution system has more losses than occurred on side. It employs that there will be significant difference between generated consumers (physica...

Whether the original power data is accurate and complete a key factor affecting accuracy of line loss calculations. This research based on big platform to obtain distribution network model data, topology operating required for theoretical calculation technical high analysis. The system analysis algorithm combined with automatically check network. To locate high-loss links grid assist planners i...

Conventional energy sources are fast depleting due to poor conservation practises and excessive usage while the world’s energy demands are growing by minute. Additionally, the cost of producing conventional energy is rising also leading to an increase in harmful environmental pollution. Hence, there is a need to look at alternative energy sources such as sun, water and wind. Photovoltaic (PV) i...

voltage stability issues are growing challenges in many modern power systems. this paper proposes optimizing the size and location of static var compensator (svc) devices using a fuzzy weighted seeker optimization algorithm (fwsoa), as an effective solution to overcome such issues. although the primary purpose of svc is bus voltage regulation, it can also be useful for voltage stability enhance...

Energy consumption has become a significant fraction of the total cost of ownership of data centers. While much work has focused on improving power efficiency per unit of computation, little attention has been paid to power delivery, which currently wastes 10-20% of total energy consumption even before any computation takes place. A new power delivery architecture using seriesstacked servers ha...

In this paper, several two-dimensional extensions of principal component analysis (PCA) and linear discriminant analysis (LDA) techniques has been applied in a lossless dimensionality reduction framework, for face recognition application. In this framework, the benefits of dimensionality reduction were used to improve the performance of its predictive model, which was a support vector machine (...

the radiation power loss from a magnetically confined plasma in a stellarator has been calculated using neoclassical particle and energy fluxes in an energy balance equation. we could obtain a power loss of about 34% of the total input power by numerical calculation. this fraction of the power loss has been found to be in good agreement with the experimentally measured values of 30-40% for our ...