Torrent details for "Das B. Advances in Smart Energy Systems 2023 [andryold1]"    Log in to bookmark

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This book discusses smart computing techniques which offer an effective solution for investigating and modeling the stochastic behavior of renewable energy generation, operation of grid-connected renewable energy systems, and smart decision-making among alternatives. It also discusses applications of soft computing techniques to make an intelligent decision for optimum use of suitable alternatives which gives an upper hand compared to conventional systems. It includes upgradation of the existing system by embedding of machine intelligence. The authors present combination of use of neutral networks, fuzzy systems, and genetic algorithms which are illustrated in several applications including forecasting, security, verification, diagnostics of a specific fault, efficiency optimization, etc. Smart energy systems integrate a holistic approach in diverse sectors including electricity, thermal comfort, power industry, transportation. It allows affordable and sustainable solutions to solve the future energy demands with suitable alternatives. Thus, contributions regarding integration of the machine intelligence with the energy system, for efficient collection and effective utilization of the available energy sources, are useful for further advanced studies.
Optimization Analysis of a Stand-Alone Hybrid Energy System for the Class Room at RLJIT, Doddaballapur, Southern Part of India
A Study of Internet of Things in Smart Grid and Smart Grid Security
An Overview of Quantum Computing Approach in the Present-Day Energy Systems
Symbiotic Organisms Search Algorithm-Based Optimal Allocation and Sizing of Capacitor Bank in Radial Distribution Networks
Optimization of the Mechanical Properties of Energy-Efficient Natural Fiber-Reinforced Polymeric Composites
Extended State Observer-Based Controller Design Application in a Two-Link Robotic Manipulator
Optimisation of Energy and Exergy Analysis of 100 W Solar Photovoltaic Module Using ANN Method
Obstructed Material Classification Using mmWave Radar with Deep Neural Network for Industrial Applications
Modeling and Simulation of Plain and Corrugated Shell and Tube Heat Exchanger
Computational Fluid Dynamics Analysis of Wind Turbine Blades at Various Angles of Attack
Computational Analysis of Air Energy Extractors for Guided Flow Exhaust Applications
Computational Simulations on the Performance of Savonius Turbines in a Solar Chimney Power Plant
Presentation of Real-Time Lab Analysis for Multiple-Area Renewable Sources-Thermal-Hydro System by Implementation of Cat Swarm Optimization
Impact of Electric Vehicles and Wind Turbine in Combined ALFC and AVR Studies Using AFA-Optimized CFPD-PIDN Controller
A QSSA Optimized Fractional-Order Controller for Improving Transient Response in AC Autonomous Microgrid VSC System
Conflated Voltage–Frequency Control of Multi-area Multi-source System Using Fuzzy TID Controller and Its Real-Time Validation

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