LEADER 03766nam 2200481 450 001 9910483216803321 005 20220121205745.0 010 $a981-16-1011-8 024 7 $a10.1007/978-981-16-1011-0 035 $a(CKB)5470000000556782 035 $a(DE-He213)978-981-16-1011-0 035 $a(MiAaPQ)EBC6614563 035 $a(Au-PeEL)EBL6614563 035 $a(OCoLC)1251505032 035 $a(PPN)255885989 035 $a(EXLCZ)995470000000556782 100 $a20220121d2021 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAI and IOT in renewable energy /$fRabindra Nath Shaw [and three others] editors 205 $a1st ed. 2021. 210 1$aGateway East, Singapore :$cSpringer,$d[2021] 210 4$dİ2021 215 $a1 online resource (XII, 109 p. 70 illus., 55 illus. in color.) 225 1 $aStudies in Infrastructure and Control,$x2730-6453 311 $a981-16-1010-X 327 $aA Day Ahead Power Output Forecasting of three PV Systems using Regression, Machine Learning and Deep Learning Techniques -- Internet of Things and Internet of Drones in the Renewable Energy Infrastructure Towards Energy Optimization -- Reinforcement Learning Algorithm to Reduce Energy Consumption in Electric Vehicles -- Spotted Hyena Optimization (SHO) Algorithm based Novel Control Approach for Buck DC-DC Converter Fed PMBLDC Motor -- Simulation and Performance Analysis of Standalone Photovoltaic System with Boost Converter Under Irradiation and Temperature -- Analysis of Variation in Locational Marginal Pricing under Influence of Stochastic Wind Generation -- Optimal Integration of Plug-In Electric Vehicles Within a Distribution Network Using Genetic Algorithm -- Frequency Control of 5kW Self-Excited Induction Generator Using Gravitational Search Algorithm and Genetic Algorithm -- Cloud Based Real-time Vibration and Temperature Monitoring System for Wind Turbine -- Smart Solar-Powered Smart Agricultural Monitoring System Using Internet of Things Devices. 330 $aThis book presents the latest research on applications of artificial intelligence and the Internet of Things in renewable energy systems. Advanced renewable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop low cost, smart and efficient solutions. Intelligence allows the system to optimize the power, thereby making it a power efficient system; whereas, Internet of Things makes the system independent of wire and flexibility in operation. As a result, intelligent and IOT paradigms are finding increasing applications in the study of renewable energy systems. This book presents advanced applications of artificial intelligence and the internet of things in renewable energy systems development. It covers such topics as solar energy systems, electric vehicles etc. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities engaged in the study and performance prediction of renewable energy systems. . 410 0$aStudies in Infrastructure and Control,$x2730-6453 606 $aArtificial intelligence 615 0$aArtificial intelligence. 676 $a006.3 702 $aShaw$b Rabindra Nath 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483216803321 996 $aAI and IOT in Renewable Energy$92052296 997 $aUNINA