Smart IoT System for Renewable Energy Resource
Renewable energy resources are used as distributed generation (DG) units and installed near to where the energy is converted and consumed. Further, the integration of renewable energy sources at home is very important. IoT helps smart grids to support various network functions throughout the generat...
সংরক্ষণ করুন:
| বিন্যাস: | Online |
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| ভাষা: | ইংরেজি |
| প্রকাশিত: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | ONIX_20231130_9783036591827_237 |
| ট্যাগগুলো: |
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| _version_ | 1869514854264471552 |
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| collection | Directory of Open Access Books |
| description | Renewable energy resources are used as distributed generation (DG) units and installed near to where the energy is converted and consumed. Further, the integration of renewable energy sources at home is very important. IoT helps smart grids to support various network functions throughout the generation, distribution, and consumption of energy by incorporating IoT devices (such as sensors, actuators, and smart meters), as well as by providing connectivity, automation, and tracking for such devices. For these applications, the use of low-power long-range wireless networks (LPWAN) is fundamental to facilitate all the necessary tasks in the smart grids in City 4.0 and Industry 4.0. The integration of renewable energies (photovoltaic solar, wind energy, biomass energy, hydroelectric energy, and other sources) in smart grids implies the monitoring of households, cities, industries, and electric vehicles at all times. In this sense, the development of monitoring and control applications using mobile devices is a fundamental tool in this type of system, which complements all the possibilities offered by the IoT. Smart energy meters are used to allow for communication between consumers and utility command centers to exchange messages about electrical consumption. Thus, it is essential to have access from any location and instant access to information using mobile devices or computers. |
| format | Online |
| id | doab-20.500.12854ir-128785 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1287852024-03-28T03:32:34Z Smart IoT System for Renewable Energy Resource Cano-Ortega, Antonio Sánchez-Sutil, Francisco knowledge-based sensor Internet of Things high-concentration photovoltaic systems sun tracker buildings energy management deep learning energy consumption prediction LSTM autoencoder load forecasting smart sensors smart meter temporal data granularity electric load profile time slices time series advanced metering infrastructure monitoring data acquisition systems renewable energy multi-objective optimization reactive power (RP) planning hybrid algorithm virus colony search particle swarm optimization LoRaWAN smart irrigation systems smart energy IoT renewable energy sources photovoltaic energy I-V curve monitoring and data acquisition microgrid open-source communication protocols DC interrupting digitization remote control electric energy measurement miniature circuit breaker power meter internet of things load control energy meter smart socket intelligent campus smart building internet of things platform remote monitoring and control classification data anomalies data imputation energy consumption data ensemble classifiers machine learning smart home data smart meter data tracebase dataset home energy management system smart home cloud infrastructure distributed PV energy management system energy storage units charging piles smart grid redundancy Home Assistant low-carbon island Kinmen thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PH Physics Renewable energy resources are used as distributed generation (DG) units and installed near to where the energy is converted and consumed. Further, the integration of renewable energy sources at home is very important. IoT helps smart grids to support various network functions throughout the generation, distribution, and consumption of energy by incorporating IoT devices (such as sensors, actuators, and smart meters), as well as by providing connectivity, automation, and tracking for such devices. For these applications, the use of low-power long-range wireless networks (LPWAN) is fundamental to facilitate all the necessary tasks in the smart grids in City 4.0 and Industry 4.0. The integration of renewable energies (photovoltaic solar, wind energy, biomass energy, hydroelectric energy, and other sources) in smart grids implies the monitoring of households, cities, industries, and electric vehicles at all times. In this sense, the development of monitoring and control applications using mobile devices is a fundamental tool in this type of system, which complements all the possibilities offered by the IoT. Smart energy meters are used to allow for communication between consumers and utility command centers to exchange messages about electrical consumption. Thus, it is essential to have access from any location and instant access to information using mobile devices or computers. 2023-11-30T20:52:33Z 2023-11-30T20:52:33Z 2023 book ONIX_20231130_9783036591827_237 9783036591827 9783036591834 https://directory.doabooks.org/handle/20.500.12854/128785 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/8251 https://mdpi.com/books/pdfview/book/8251 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-9183-4 10.3390/books978-3-0365-9183-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036591827 9783036591834 282 Basel open access |
| spellingShingle | knowledge-based sensor Internet of Things high-concentration photovoltaic systems sun tracker buildings energy management deep learning energy consumption prediction LSTM autoencoder load forecasting smart sensors smart meter temporal data granularity electric load profile time slices time series advanced metering infrastructure monitoring data acquisition systems renewable energy multi-objective optimization reactive power (RP) planning hybrid algorithm virus colony search particle swarm optimization LoRaWAN smart irrigation systems smart energy IoT renewable energy sources photovoltaic energy I-V curve monitoring and data acquisition microgrid open-source communication protocols DC interrupting digitization remote control electric energy measurement miniature circuit breaker power meter internet of things load control energy meter smart socket intelligent campus smart building internet of things platform remote monitoring and control classification data anomalies data imputation energy consumption data ensemble classifiers machine learning smart home data smart meter data tracebase dataset home energy management system smart home cloud infrastructure distributed PV energy management system energy storage units charging piles smart grid redundancy Home Assistant low-carbon island Kinmen thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PH Physics Smart IoT System for Renewable Energy Resource |
| title | Smart IoT System for Renewable Energy Resource |
| title_full | Smart IoT System for Renewable Energy Resource |
| title_fullStr | Smart IoT System for Renewable Energy Resource |
| title_full_unstemmed | Smart IoT System for Renewable Energy Resource |
| title_short | Smart IoT System for Renewable Energy Resource |
| title_sort | smart iot system for renewable energy resource |
| topic | knowledge-based sensor Internet of Things high-concentration photovoltaic systems sun tracker buildings energy management deep learning energy consumption prediction LSTM autoencoder load forecasting smart sensors smart meter temporal data granularity electric load profile time slices time series advanced metering infrastructure monitoring data acquisition systems renewable energy multi-objective optimization reactive power (RP) planning hybrid algorithm virus colony search particle swarm optimization LoRaWAN smart irrigation systems smart energy IoT renewable energy sources photovoltaic energy I-V curve monitoring and data acquisition microgrid open-source communication protocols DC interrupting digitization remote control electric energy measurement miniature circuit breaker power meter internet of things load control energy meter smart socket intelligent campus smart building internet of things platform remote monitoring and control classification data anomalies data imputation energy consumption data ensemble classifiers machine learning smart home data smart meter data tracebase dataset home energy management system smart home cloud infrastructure distributed PV energy management system energy storage units charging piles smart grid redundancy Home Assistant low-carbon island Kinmen thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PH Physics |
| topic_facet | knowledge-based sensor Internet of Things high-concentration photovoltaic systems sun tracker buildings energy management deep learning energy consumption prediction LSTM autoencoder load forecasting smart sensors smart meter temporal data granularity electric load profile time slices time series advanced metering infrastructure monitoring data acquisition systems renewable energy multi-objective optimization reactive power (RP) planning hybrid algorithm virus colony search particle swarm optimization LoRaWAN smart irrigation systems smart energy IoT renewable energy sources photovoltaic energy I-V curve monitoring and data acquisition microgrid open-source communication protocols DC interrupting digitization remote control electric energy measurement miniature circuit breaker power meter internet of things load control energy meter smart socket intelligent campus smart building internet of things platform remote monitoring and control classification data anomalies data imputation energy consumption data ensemble classifiers machine learning smart home data smart meter data tracebase dataset home energy management system smart home cloud infrastructure distributed PV energy management system energy storage units charging piles smart grid redundancy Home Assistant low-carbon island Kinmen thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PH Physics |
| url | ONIX_20231130_9783036591827_237 |