The load forecasting is a tool of utmost important for the power industry as it can influence areas like power generation and trading, infrastructure development planning etc. Implementation of the load forecasting tool in the distribution utilities has a wider impact up to the power generation level. The load forecasting has been an area in power systems where the human experts are still perfo...

which a generating plant driven by renewable energy sources, such as wind energy, is connected to partially serve loads. This research demonstrates the induction generator by two forms: i) power (PQ) model and ii) admittance (Y) model. Solution convergence and model accuracy are observed in order to predict power flow distribution through feeder lines resulting from the grid connection of a ren...

introduction: the selection of suitable beam angles and weights in external-beam radiotherapy is at present generally based upon the experience of the planner. therefore, automated selection of beam angles and weights in forward-planned radiotherapy will be beneficial. material and methods: in this work, an efficient method is presented within the matlab environment to investigate how to improv...

Everything I wanted to know about strategic planning learned not in the workplace but through volunteering with American Chemical Society. have been fortunate witness evolution of process at various levels society and impact such has had on moving organization forward. The key successful is participation those a plan supports. For ACS, that means all you as members. was first exposed 2006, repr...

2 Assistant professor, 3 Associate professor, Alternate Hydro Energy Centre, IIT Roorkee, Roorkee-247667, India . Abstract— Optimal siting and sizing of Distributed Generation (DG) and other power compensating devices in distribution networks are the two crucial and also very important factors to get maximum benefits such as technical, economical, and environmental both for the utility and cust...

This paper develops a multivariate probabilistic framework for PEV load modelling to be embedded in system planning problems. In order to successfully integrate the uncertainty attributes of the PEVs in the probabilistic planning issues, relevant vehicular load scenarios is provided through appropriate synthetic data. A student's t copula distribution function is utilized to capture the correla...

The demand characteristic is the most important one in analyzing customer information. In a distribution network, there is in any moment certain degree of uncertainty about busses loads, and consequently, about load level of network, busses voltage level, and power losses. Therefore, it is very important to estimate first of all the load profiles of buses, using available data (measurements eff...