Isbn: 9786208448974 - harnessing hybrid energy with a floating waterwheel system: "a synergistic energy model for riverine and coastal applications" (10 risultati)

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Taschenbuch. Condizione: Neu. Harnessing Hybrid Energy with a Floating Waterwheel System | "A Synergistic Energy Model for Riverine and Coastal Applications" | Sai Pallavi Akkisetti (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208448974 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 112 pp. Englisch.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The Hydro and Wind Energy Monitoring System is an IoT-integrated solution using Arduino to track and analyze renewable energy generation from hydro and wind sources. The system monitors the voltage generated by wind turbines and hydroelectric generators, storing the harvested energy in a battery for later use. Real-time data, including generated voltage and water flow rate, is uploaded to the Thing Speak cloud for remote access and monitoring. A flow sensor is used to measure the rate of water flow, which directly impacts hydro energy generation. Wind energy is monitored by tracking the turbine's rotational speed and output voltage. The system leverages machine learning to predict future energy generation based on historical data stored in Thing Speak, enabling proactive energy management and optimization. Using random forest algorithm, predictive analytics of system can estimate power output under different environmental conditions, improving efficiency and reliability. The IoT integration ensures continuous data collection and remote visualization, making it an effective renewable energy management system.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch.…

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Hydro and Wind Energy Monitoring System is an IoT-integrated solution using Arduino to track and analyze renewable energy generation from hydro and wind sources. The system monitors the voltage generated by wind turbines and hydroelectric generators, storing the harvested energy in a battery for later use. Real-time data, including generated voltage and water flow rate, is uploaded to the Thing Speak cloud for remote access and monitoring. A flow sensor is used to measure the rate of water flow, which directly impacts hydro energy generation. Wind energy is monitored by tracking the turbine's rotational speed and output voltage. The system leverages machine learning to predict future energy generation based on historical data stored in Thing Speak, enabling proactive energy management and optimization. Using random forest algorithm, predictive analytics of system can estimate power output under different environmental conditions, improving efficiency and reliability. The IoT integration ensures continuous data collection and remote visualization, making it an effective renewable energy management system.…