Høgskoleringen
Trondheim NO-7491, 7491
Norway
Norwegian University of Science and Technology (NTNU)
Photovoltaic (PV) system, Fault diagnosis, Autonomous monitoring, Ensemble learning algorithm, Genetic algorithm (GA)
Reinforcement Learning (RL), Soft Actor-Critic (SAC), Energy Management System (EMS), Smart Microgrid (SMG), Distributed Energy Resources (DER), Electric Vehicle (EV).
Reinforcement Learning, Soft Actor Critic, Energy Management System, Smart Microgrid, Distributed Energy Resources, Electric Vehicles
Deep Learning, Photovoltaic Modules, Stacking ensemble, Convolutional Neural Networks, Unmanned Aerial Vehicle
Photovoltaic modules, Autonomous fault detection, Deep neural network, ensemble learning, Random forest, Unmanned aerial vehicle
Energy Flexibility, Decentralized control, Reinforcement learning, Collective Intelligence, Human-centric design, Smart energy management
energy flexibility, Decentralized control, Reinforcement learning, Human-centric design, Experimental evaluation
Energy flexibility, Decentralized control, Reinforcement Learning, Collective Intelligence, Human-centric design, Smart energy management
Photovoltaic (PV) systems, fault detection, Autonomous monitoring, Deep reinforcement learning (DRL), Input space selection
Photovoltaic system, fault diagnosis, Autonomous aerial monitoring, Stable diffusion model, deep learning
Artificial Neural Networks, Dehumidification with LPG Refrigeration System, Effective moisture diffusivity, Energy, Exergy, Rice drying
Wind speed prediction, Hybrid Machine Learning model, Ground-based training input, long-term validation data set, Varying latitudes, and MSE
Wind speed prediction, Hybrid Machine Learning model, Ground-based training input, long-term validation data set, Varying latitudes
Photovoltaic (PV) system, Fault detection and classification, Weighted ensemble learning (WEL), Multi-layer model, Genetic algorithm (GA), Feature selection algorithm
Photovoltaic (PV) systems, Fault detection, Autonomous monitoring, Deep reinforcement learning (DRL), Input space selection
Reinforcement learning, model predictive control, energy management system, long-short-term memory, occupant comfort, solar self-consumption, thermal resilience.
Shortwave radiation, longwave radiation, albedo, measurements, Arctic, Svalbard
Artificial neural networks, Dehumidification with LPG Refrigeration System, Effective Moisture Diffusivity, Energy, Exergy, Rice drying
Photovoltaics, Deep Reinforcement Learning (DRL), Multiple Aerial Robots, Coverage Path Planning (CPP)
Photovoltaics, Fault detection and diagnosis, Machine Learning, Deep learning, Deep reinforcement learning, Deep Q-network
Photovoltaic, Autonomous monitoring, Fault detection, Fuzzy Logic, Particle swarm optimization
real options, Renewable Energy, Desalination, Reverse osmosis, economic assessment, photovoltaiec (PV)
Aerial robotic system, Autonomous monitoring, Photovoltaic power plants, convolutional neural networks (CNNs), YOLO classifiers, Real-time inspection
Photovoltaic (PV) system, Fault detection and diagnosis (FDD), Deep reinforcement learning (DRL), Proximal policy optimization (PPO), Permutation feature importance technique
Photovoltaic (PV), Degradation faults, Deep reinforcement learning (DRL), Deep Q-network (DQN), Soft actor-critic (SAC)
Photovoltaic (PV), Degradation faults, Deep reinforcement learning (DRL), Deep Q-network (DQN), Soft actor-critic (SAC), Parameter estimation
Polycarbonate, alpha radiation, optical properties, chain scission, recombination, cross-linking
Photovoltaic system, Fault diagnosis, Autonomous monitoring, Stable diffusion model, Aerial imagery, Deep learning
Photovoltaic (PV) system, Fault detection, Aggregative model, Data shrinkage techniques, Random Forest
Photovoltaic, Autonomous monitoring, Fault detection, Fuzzy logic, Particle swarm optimization
