Accurate and efficient electrical load forecasting is a vital pre-requisite for power system planning and distribution as it can result in cost saving and better operating conditions. Object of this study focuses on the various factors affecting load forecasting. This paper attempts to consider the effects of these factors to highlight their role in operation and planning. A good understanding of the influence of the factors on the pattern of load forecasting helps to reduce the gap between demand and supply of electrical power leading to higher profit margin.
Accurate load forecasting is essential for power system planning and operation. As the electricity end uses expand, load forecasting technique becomes more complicated. Depending on the nature of load variations, one particular method may not be suitable in each case. Before choosing a particular method, an overview of different techniques is required. This paper presents the analysis of various techniques for load forecasting. A comparative analysis is presented to understand the performance of each technique. None of them is found to be perfect alone; the trend is towards hybrid models.Keywords-load forecasting, short term load forecast, long term load forecast.I.
This paper present the comparison of of Doubly fed induction motor and wound rotor induction motor using sensor less scheme and the whole analysis reveals the better dynamic performance of Sensor less speed over conventional method of speed and current measurement which reduces the error in the measurement of parameters, better noise immune, more efficient and reliable system
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.