Applications of AI and IOT in Renewable Energy

1. Machine Learning Algorithms Used for Short-Term PV Solar irradiation and Temperature Forecasting at Microgrid 2. Generators' Revenue Augmentation in Highly Penetrated Renewable M2M coordinated Power Systems 3. Intelligent Supervisory Energy-Based Speed Control for Grid-Connected Tidal Renewable Energy System Efficiency Maximization 4. An Intelligent Energy Management System of Hybrid Solar/Wind/Battery Power Sources Integrated in Smart DC Microgrid for Smart University 5. IoT in Renewable Energy Generation for Conservation of Energy Using Artificial Intelligence 6. Renewable Energy System for Industrial Internet of Things Model Using Fusion-AI 7. Centralized Intelligent Fault Localization Approach for Renewable Energy-based Islanded Microgrid Systems 8. Modelling of EV charging station using Solar Photovoltaic (PV) system with Fuzzy Logic Controller 9. Weather-based Solar Power Generation Prediction and Anomaly Detection 10. RMSE and MAPE analysis for short term Solar Irradiance, Solar Energy and Load Forecasting using Recurrent Artificial Neural Network 11. Study and Comparative Analysis of Perturb and Observe (P&O) and Fuzzy Logic Based PV-MPPT Algorithms 12. Control strategy for design and performance evaluation of hybrid system using neural network controller

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• Tecnologia das fontes de energia renovável e alternativa

Anomaly; Artificial Intelligence; Artificial intelligence; Battery model; Boost converter; DC-microgrid; Deep learning; Distributed generation; Disturbance detection; Energy management control; Energy-based controller; Fault detection; Fog computing; Forecasting; Fuzzy logic; Fuzzy logic control; Fuzzy logic controller; Fuzzy logic-based PV-MPPT; GHG; Generators' revenue augmentation; Highly penetrated renewable; Industrial Internet of Things; Internet of Things; Internet of things; Interregional power exchange; Islanded system; Load forecasting; Locational marginal prices; MATLAB; MPPT controller; Machine learning; Marine current turbine; Market-to-market coordination; Maximum power point; Mean absolute percentage error (MAPE); Microgrid; Neural network; Nonlinear control; PID; PV; PV array; PV-photovoltaic; Perturb and observe; Photovoltaic maximum power point tracking; R2 value; RANN (Recurrent Artificial Neural Network); Regression; Reinforcement learning; Renewable energy; Renewable energy resources; Root mean square error (RMSE); Smart University; Solar energy forecasting; Solar irradiance forecasting; Solar irradiation; State of charge; Super twisting algorithm; Wind