Titlebook: Soft Computing Applications in Modern Power and Energy Systems; Select Proceedings o Om Hari Gupta,Narayana Prasad Padhy,Sukumar Kamala Con

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Wireless Sensor Network for Condition Monitoring of Axel Counter Device in Railways,rinciple of cutting of magnetic flux between two coils. It counts the axels with passing of wheel-flange through the passage of two coils of ACD fitted on track. It is employed in station area or yard area which simultaneously monitors the occupancy of different track sections as approach track, mai

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PID Based Optimal Neural Control of Single Wheel Robot (SWR),on of highly nonlinear and multivariable Single wheel robot (SWR). The nonlinear governing equations of motion for the proposed system were derived using Newton’s second law. The gains of PID controller were optimised using auto-tuning function. The results of PID were used for training of ANN contr

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Reducing the Burden on the Utility Grid by Implementing the Demand Response Strategy with Home Loadcity usage. A scheme for optimal management of electricity consumption in the home environment is introduced in this work. The work is primarily focused on electricity price minimization and reduced burden on the power grid. The proposed methodology introduced the scheduling of home appliances optim

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Automatic Generation Control of Multi Area Power Systems Using BELBIC,phy. It has been addressed to use various methods for controlling frequency and power. Different power generating sources, including conventional, renewable energy sources, and realistic Renewable Energy Sources (RES), are taken into account in both regulated and uncontrolled situations when discuss

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,Chaotic Quasi-Oppositional Moth Flame Optimization for?Radial Distribution Network Reconfiguration oth Flame Optimization (CQOMFO) method so as to minimize power losses in the power system network and keep the voltage profile consistent throughout the power system network, which will aid in increasing system efficiency. The primary goal is to demonstrate the proper placement of Distributed Genera

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,Global Horizontal Irradiance Prediction Using Clustering and?Artificial Neural Network,ing more and more significant. In order to maximize the use of solar energy and increase the effectiveness of solar energy facilities, solar energy forecasting is an essential area of research. In this study, we investigate the application of machine learning methods, particularly linear regression,

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Optimization and Comparative Analysis of Hybrid Renewable Energy Generation (Solar-Wind-Biomass) Usctricity demand growth patterns, the world will undoubtedly face resource and carbon constraints. Renewable Resources are an attractive option to cater these issue and have potential to supply this growing demand with clean and safe energy in affordable price. This research describes the comparative