Research graph
References from Advancing solar PV power plants: The role of artificial intelligence in optimization, sustainability, and cost efficiency. Local targets link to admitted publications; unresolved targets remain external evidence.
An effective method for detection and location estimation of faults in large-scale solar PV arrays
10.1016/j.solener.2024.112727 · 2024 · External reference
Key performance indicators for resiliency assessment in power systems with renewable energy and electric vehicles integration
10.1016/j.rser.2025.116135 · 2026 · External reference
PO-optimized cascaded FOIAN-PTD strategy for frequency control of wind-PV-thermal power system with energy storage systems, engineering science and technology, an
2025 · External reference
Enhancement of the operating time of the overcurrent relay of the distribution network with high-level penetration of renewable energy sources
10.1016/j.rineng.2025.104859 · 2025 · External reference
Feasibility and economic assessment of a PV-wind hybrid charging station in the Bronx, NY
10.1109/access.2025.3555158 · 2025 · External reference
Comprehensive study of the artificial intelligence applied in renewable energy
10.1016/j.esr.2024.101446 · 2024 · External reference
AI-driven predictive control for dynamic energy optimization in flying cars
10.3390/en18071781 · 2025 · External reference
Optimizing fast charging protocols for lithium-ion batteries using reinforcement learning: balancing speed, efficiency, and longevity
10.1016/j.rineng.2025.104302 · 2025 · External reference
Feasibility study and economic analysis of PV/wind-powered hydrogen production plant
10.1109/access.2024.3406895 · 2024 · External reference
A distributed architecture of parallel buck-boost converters and cascaded control of DC microgrids-real time implementation
10.1109/access.2024.3382569 · 2024 · External reference
Comparative analysis of hybrid geothermal-solar systems and solar PV with battery storage: site suitability, emissions, and economic performance
10.1016/j.geothermics.2024.103175 · 2025 · External reference
Application of tilt integral derivative for efficient speed control and operation of BLDC motor drive for electric vehicles
10.3390/fractalfract8010061 · 2024 · External reference
Adaptive control approach for accurate current sharing and voltage regulation in DC microgrid applications
10.3390/en17020284 · 2024 · External reference
A modified artificial hummingbird algorithm for solving optimal power flow problem in power systems
10.1016/j.egyr.2023.12.053 · 2024 · External reference
10.1080/02286203.2023.2274062
10.1080/02286203.2023.2274062 · External reference
A new optimized FOPIDA-FOIDN controller for the frequency regulation of hybrid multi-area interconnected microgrids
10.3390/fractalfract7090666 · 2023 · External reference
Analysis of the PV system sizing and economic feasibility study in a grid-connected PV system
10.1016/j.csite.2023.102903 · 2023 · External reference
LVRT and reactive power/voltage support of utility-scale PV power plants during disturbance conditions
10.3390/en16073245 · 2023 · External reference
Combining data envelopment analysis and Random Forest for selecting optimal locations of solar PV plants
10.1016/j.egyai.2022.100222 · 2023 · External reference
Site suitability analysis for implementing solar PV power plants using GIS and fuzzy MCDM based approach
10.1016/j.solener.2022.11.046 · 2023 · External reference
Artificial neural network-based models for short term forecasting of solar PV power output and battery state of charge of solar electric vehicle charging station
10.1016/j.csite.2024.105152 · 2024 · External reference
Digital-PV: a digital twin-based platform for autonomous aerial monitoring of large-scale photovoltaic power plants
10.1016/j.enconman.2024.118963 · 2024 · External reference
Digital twin application for attach detection and mitigation of PV-based smart systems using fast and accurate hybrid machine learning algorithm
10.1016/j.solener.2023.01.007 · 2023 · External reference
Digital twin technology in wind turbine components: A review
2025 · External reference
Diagnosis of PV faults using digital twin and convolutional mixer with LoRa notification system
10.1016/j.egyr.2023.01.011 · 2023 · External reference
Syed Bahauddin Alam, Digital twin-centered hybrid data-driven multi-stage deep learning framework for enhanced nuclear reactor power prediction
10.1016/j.egyai.2024.100450 · 2025 · External reference
Energy management and control in multiple storage Energy units (Battery–Supercapacitor) of fuel cell electric vehicles
10.3390/ma15248932 · 2022 · External reference
An interleaved two switch soft-switching forward PWM power converter with current doubler rectifier
2022 · External reference
A review of DC-AC converters for electric vehicle applications
10.3390/en15031241 · 2022 · External reference
Artificial neural networks applied on induction motor drive for an electric vehicle propulsion system
10.1007/s00202-021-01418-y · 2022 · External reference
Failure analysis of photovoltaic strings by constructing a digital multi-twin integrating theory, features, and vision
10.1016/j.engfailanal.2024.108980 · 2025 · External reference
Enhancing photovoltaic system efficiency through a digital twin framework: a comprehensive modeling approach
10.1016/j.ijft.2025.101078 · 2025 · External reference
Enhanced solar photovoltaic system management and integration: the digital twin concept
10.3390/solar5010007 · 2025 · External reference
Machine learning methods for solar radiation forecasting: a review
10.1016/j.renene.2016.12.095 · 2017 · External reference
Machine learning-based approach for forecasting building energy consumption using multi-agent systems
2020 · External reference
Building thermal load prediction through deep learning: a case study using real-time occupant data
2018 · External reference
Deep learning for fault detection and classification in photovoltaic arrays
2017 · External reference
Deep learning-based forecasting of solar photovoltaic power generation: a review
2021 · External reference
Assessment of forecasting techniques for solar power production with no exogenous inputs
2015 · External reference
A 24-h forecast of solar irradiance using artificial neural network: application for performance prediction of a grid-connected PV plant at Trieste
10.1016/j.solener.2010.02.006 · 2010 · External reference
Digital twin simulation for integration of blockchain and internet of things for optimal smart management of PV-based connected microgrids
10.1016/j.solener.2023.01.013 · 2023 · External reference
Forecasting the global solar radiation using time series models: a review and case study
2019 · External reference
Online 24-hour solar power forecasting based on weather type classification using artificial neural network
10.1016/j.solener.2011.08.027 · 2011 · External reference
Long-term solar irradiance forecasting using deep recurrent neural networks
2022 · External reference
Application of LSTM recurrent neural networks in solar resource forecasting
2019 · External reference
Deep learning models for long-term solar radiation forecasting: a review and comparative analysis
2021 · External reference
Convolutional LSTM network: a machine learning approach for precipitation nowcasting
2015 · External reference
Solar irradiance forecasting based on deep convolutional neural networks using sky images
2020 · External reference
Cloud motion and solar irradiance forecasting from satellite images using convolutional neural networks
2021 · External reference
A review of PV power forecasting using machine learning techniques
10.1016/j.pes.2025.100058 · 2025 · External reference
Solar radiation prediction using Artificial Neural Network techniques: a review
10.1016/j.rser.2013.08.055 · 2014 · External reference
Solar radiation forecasting using gradient boosting based ensemble learning model for various climatic zones
2024 · External reference
Probabilistic forecasting of solar power generation using a bayesian network approach
2013 · External reference
A Bayesian deep learning approach for probabilistic solar power forecasting
2021 · External reference
Fuzzy logic-based solar irradiance forecasting under uncertain weather conditions
2017 · External reference
Fault detection and diagnosis methods for photovoltaic systems: a review
10.1016/j.rser.2018.03.062 · 2018 · External reference
Genetic algorithm based optimization on modeling and design of hybrid renewable energy systems
10.1016/j.enconman.2014.05.064 · 2014 · External reference
Hybrid solar energy forecasting using genetic algorithms and artificial neural networks
2016 · External reference
Hybrid forecasting model based on long short-term memory network and statistical features for solar power prediction
2019 · External reference
Predictive solar irradiance modeling combining time series decomposition and machine learning algorithms
2020 · External reference
A digital twin to overcome long-time challenges in photovoltaics
10.1016/j.joule.2023.12.010 · 2024 · External reference
Diagnosis of photovoltaic faults using digital twin and PSO-optimized shifted window transformer
10.1016/j.asoc.2023.111092 · 2024 · External reference
Digitalization of urban multi-energy systems – advances in digital twin applications across life-cycle phases
10.1016/j.adapen.2024.100196 · 2024 · External reference
A printing-inspired digital twin for the self-driving, high-throughput, closed-loop optimization of roll-to-roll printed photovoltaics
2024 · External reference
A novel framework for integrating solar renewable source into smart cities through digital twin simulations
10.1016/j.solener.2023.111869 · 2023 · External reference
Digital-PV: a digital twin-based platform for autonomous aerial monitoring of large-scale photovoltaic power plants
10.1016/j.enconman.2024.118963 · 2024 · External reference
Fuzzy-based prediction of solar PV and wind power generation for microgrid modeling using particle swarm optimization
10.1016/j.heliyon.2023.e12802 · 2023 · External reference
Advancements in digital twin technology and machine learning for energy systems: a comprehensive review of applications in smart grids, renewable energy, and electric vehicle optimisation
2024 · External reference
Enhancing solar PV reliability with hybrid local features and infrared thermography
10.1016/j.egyr.2024.12.014 · 2025 · External reference
Microgrids energy management considering net-zero energy concept: the role of renewable energy landscaping design and IoT modeling in digital twin realistic simulator
2024 · External reference
Optimizing renewable energy systems through artificial intelligence: review and future prospects
10.1177/0958305x241256293 · 2024 · External reference
The applications and challenges of digital twin technology in smart grids: a comprehensive review
10.3390/app142310933 · 2024 · External reference
Shaping the future of sustainable energy through AI-enabled circular economy policies
2023 · External reference
Power optimisation scheme of induction motor using FLC for electric vehicle
10.1049/iet-est.2019.0151 · 2020 · External reference
Hybrid control of a Multi area multi machine power system with FACTS devices using non-linear modelling
10.1049/iet-gtd.2019.1165 · 2020 · External reference
Phase-shift PWM-controlled DC–DC converter with secondary-side current doubler rectifier for on-board charger application
10.3390/en13092298 · 2020 · External reference
Novel soft-switching integrated boost DC-DC converter for PV power system
10.3390/en13030749 · 2020 · External reference
Leveraging the machine learning techniques for demand-side flexibility – a comprehensive review
10.1016/j.epsr.2024.111185 · 2025 · External reference
Aliasghar Arab, Ibrahim Beklan Kucukdemiral, Alireza Alfi, Afef Fekih, revolutionizing solar energy resources: the central role of generative AI in elevating system sustainability and efficiency
10.1016/j.apenergy.2025.125296 · 2025 · External reference
Modeling and power optimization control of tidal energy systems
10.36909/jer.10441 · 2022 · External reference
Multi-port PWM DC-DC power converter for renewable energy applications
10.3390/en14123490 · 2021 · External reference
Sensorless control for PMSM using model reference adaptive system
10.1002/2050-7038.12733 · 2021 · External reference
Energy-saving of battery electric vehicle powertrain and efficiency improvement during different standard driving cycles
10.3390/su122410466 · 2020 · External reference
MPPT for a PV grid-connected system to improve efficiency under partial shading conditions
10.3390/su122410310 · 2020 · External reference
A soft switching DC-link quasi resonant three-phase inverter for AC servo-motor drive applications
2020 · External reference
Sensorless active and reactive control for DFIG wind turbines using opposition-based learning technique
10.3390/su12093583 · 2020 · External reference
A new single-phase direct frequency controller having reduced switching count without zero-crossing detector for induction heating system
2020 · External reference
Ramadan Mostafa, control and analysis of bidirectional interleaved hybrid converter with coupled inductors for electric vehicle applications
2019 · External reference
Solar radiation forecast based on fuzzy logic and neural networks
10.1016/j.renene.2013.05.011 · 2013 · External reference
Artificial intelligent control of energy management PV system
2024 · External reference
Comparative analysis of photovoltaic faults and performance evaluation of its etection techniques
10.1109/access.2020.2970531 · 2020 · External reference
Optimum resilient operation and control DC microgrid based electric vehicles charging station powered by renewable energy sources
10.3390/en12224240 · 2019 · External reference
Developing advanced control strategies for energy management in hybrid and electric vehicles
2025 · External reference
Development of a digital twin model for electric vehicles: real-time battery management and performance optimization
2025 · External reference
Short-term discharge-based state of health estimation of lithium-ion batteries
2026 · External reference
Chapter 2 - emerging electric vehicle technologies: topologies, charging infrastructure, grid stability, and economic impacts
2025 · External reference
Different approaches for efficiency optimization of DFIG wind power generation systems
2021 · External reference
Wind power plants control systems based on SCADA system
2021 · External reference
High-resolution AI-based forecasting and techno-economic assessment of green hydrogen production from a hybrid PV/wind system at the regional scale
10.1016/j.ijhydene.2025.152098 · 2025 · External reference
Design of an intelligent AI-based multi-layer optimization framework for grid-tied solar PV-fuel cell hybrid energy systems
10.1016/j.mex.2025.103540 · 2025 · External reference
IoT-enabled solar PV systems: real-time monitoring and efficiency optimization
10.1016/j.rio.2025.100949 · 2026 · External reference
Energy management hypothesis for hybrid power system of H2/WT/PV/GMT via AI techniques
10.1016/j.ijhydene.2017.06.085 · 2018 · External reference
Artificial Intelligence, IoT, and Solar PV-integrated home energy management systems: a review
10.1016/j.rineng.2025.108954 · 2026 · External reference
Maximum power point tracking strategies for solar PV systems: a review of current methods and future innovations
10.1016/j.rineng.2025.107227 · 2025 · External reference
Short-term discharge-based state of health estimation of lithium-ion batteries
2026 · External reference
Comparative analysis of AI-driven machine learning models for fault detection and maintenance optimization in photovoltaic systems
10.51646/jsesd.v14i1.419 · 2025 · External reference
Machine learning-based short-term solar power forecasting: a comparison between regression and classification approaches using extensive Australian dataset
2024 · External reference
Multi-label machine learning for power forecasting of a grid-connected photovoltaic solar plant over multiple time horizons
2025 · External reference
AI-based predictive maintenance of solar photovoltaic systems: a comprehensive review
2025 · External reference
A review of PV power forecasting using machine learning techniques
2025 · External reference
A comparative study of machine learning approaches for accurate predictive modeling of solar energy generation using real-world PV plant data
2024 · External reference
