Role of Commission Agents in the Development of Traditional Marine Fisheries of Kerala with Special Reference to Financing

The study clearly brings out the role of commission agents in the traditional marine fisheries sector and thereby goes to set at rest the controversy regarding their role. The findings of the study has important implications for formulation of policies and development strategies related to the traditional marine fisheries sector. The study points out the need for a thorough review and reformulation of the policies and development strategies for efficiently achieving the development potential of the traditional marine fisheries sector and for improving the economic conditions of the fishermen. The study is based mostly on Alappuzha District of Kerala, covering all the 30 marine fishing villages, spread over the three coastal taluks, namely, Karthikappally, Ambalappuzha and Cherthala

Short-Term Load Forecast Of A Low Loadfactor Power System For Optimization Of Merit Order Dispatch Using Adaptive Learning Algorithm

Short term load forecasting is one of the key inputs to optimize the management of power system. Almost 60-65% of revenue expenditure of a distribution company is against power purchase. Cost of power depends on source of power. Hence any optimization strategy involves optimization in scheduling power from various sources. As the scheduling involves many technical and commercial considerations and constraints, the efficiency in scheduling depends on the accuracy of load forecast. Load forecasting is a topic much visited in research world and a number of papers using different techniques are already presented. The accuracy of forecast for the purpose of merit order dispatch decisions depends on the extent of the permissible variation in generation limits. For a system with low load factor, the peak and the off peak trough are prominent and the forecast should be able to identify these points to more accuracy rather than minimizing the error in the energy content. In this paper an attempt is made to apply Artificial Neural Network (ANN) with supervised learning based approach to make short term load forecasting for a power system with comparatively low load factor. Such power systems are usual in tropical areas with concentrated rainy season for a considerable period of the year