Machine learning for solar irradiance forecasting of photovoltaic system

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Estimation of Energy to be Obtained from PV Power Plants Using Machine Learning Methods

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Efficient Machine Learning-Based Prediction of Solar Irradiance Using Multi-Site Data

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Holistic and Lightweight Approach for Solar Irradiance Forecasting

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Machine Learning Forecasting Model for Solar Energy Radiation

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Research on ultra-short-term photovoltaic power forecasting using multimodal data and ensemble learning

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Artificial neural network based simplified one day ahead forecasting of solar photovoltaic power generation

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Ensemble machine-learning model for solar radiation prediction using explainable AI

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Scalable Gaussian Process Models for Solar Power Forecasting

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Forecasting Solar Irradiance Using Machine Learning Methods

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Improving solar radiation source efficiency using adaptive dynamic squirrel search optimization algorithm and long short-term memory

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A comprehensive framework for effective long-short term solar yield forecasting

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Bibliographic Exploration of Application of Machine Learning and Artificial Intelligence in Solar Energy

Ajibade, S.-S. M., Bashir, F. M., Dodo, Y. A., Oyebode, O. J., Culpable, R. V., Calzada, L. M. D. L., Adediran, A. O., & Ajibade, T. I. (2024) · International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG) · doi:10.1109/seb4sdg60871.2024.10629967 · Cited by 8

Photovoltaic sizing using machine learning

Dbouk, H. M., Chehimi, M. M., & Khalaf, A. (2023) · Energy Reports · doi:10.1016/j.egyr.2023.09.025 · Cited by 7

Precise single step and multistep short-term photovoltaic parameters forecasting based on reduced deep convolutional stack autoencoder and minimum variance multikernel random vector functional network

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Prediction of Photovoltaic Power by ANN Based on Various Environmental Factors in India

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Short-Term Irradiance Prediction Based on Transformer with Inverted Functional Area Structure

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Strategic forecasting of renewable energy production for sustainable electricity supply: A machine learning approach considering environmental, economic, and oil factors in Türkiye

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Updated GOES-13 Heliosat-2 Method for Global Horizontal Irradiation in the Americas

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Solar Energy Forecasting using Artificial Neural Network

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Exploration of Solar Irradiance in Thar Desert Using Time Series Model

Shukla, S., Sheoran, S., & Pasari, S. (2022) · Applied Solar Energy · doi:10.3103/s0003701x22060147 · Cited by 6

WLAN indoor localization method using angle estimation

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Hybrid solar/wind/diesel water pumping system in Dubai, United Arab Emirates

Obaid, W., Hamid, A.-K., & Ghenaï, C. (2021) · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · doi:10.11591/ijece.v11i3.pp2062-2067 · Cited by 6

Attenuation Factor Estimation of Direct Normal Irradiance Combining Sky Camera Images and Mathematical Models in an Inter-Tropical Area

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Solar Photovoltaic System‐Based Power Generation

Pachauri, R. K., Yadav, J., Torto, S. O. G., Minai, A. F., Pandey, V., Shashikant, & Sharma, P. (2024) · doi:10.1002/9781394174805.ch11 · Cited by 6

Photovoltaic Power Forecasting: A Review on Models and Future Research Directions

Singh, U., Singh, N., Malik, H., & Hossaini, M. A. (2026) · IET Renewable Power Generation · doi:10.1049/rpg2.70186 · Cited by 6

Optimization of Photovoltaic Installation Based on Machine Learning for Water Pumping System Using a BLDC Motor

Mostefaï, M., Sekour, M., & Amara, M. (2023) · Journal of Electrical Engineering and Technology · doi:10.1007/s42835-023-01458-3 · Cited by 5

Modeling Parametric Forecasts of Solar Energy over Time in the Mid-North Area of Mozambique

Mucomole, F. V., Silva, C., & Magaia, L. L. (2025) · Energies · doi:10.3390/en18061469 · Cited by 5

Using the Multilayer Perceptron (MLP) Model in Predicting the Patterns of Solar Irradiance at Several Time Intervals

Obiora, C. N., Ali, A. A. Y., & Hasan, A. N. (2023) · Southern African Universities Power Engineering Conference (SAUPEC) · doi:10.1109/saupec57889.2023.10057744 · Cited by 5

A Comparative Study of Deep Learning Methods for Short-Term Solar Radiation Forecasting

Singh, P. K., Saraswat, A., Gupta, Y., Goyal, S. K., & Gupta, Y. (2023) · Lecture notes in electrical engineering · doi:10.1007/978-981-99-4795-9_53 · Cited by 5

Predicting renewable energy production by machine learning methods: The case of Turkey

Yağmur, A., Kayakuş, M., & Terzioğlu, M. E. (2023) · Environmental Progress & Sustainable Energy · doi:10.1002/ep.14077 · Cited by 5

Hybrid Explainable SRNN-LSTM Architecture for Irradiance, Temperature and Wind Speed ForecastingPreprint

Rajasekaran, U., Sriram, G. K., Malini, A., & Sharma, V. (2023) · Research Square · doi:10.21203/rs.3.rs-2989975/v1 · Cited by 5

Multi-grained adaptive informer for multi-step solar irradiance forecasting

Ma, X., Wang, J., Huang, J., & Ke, Y. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.127412 · Cited by 4

Selected Properties of the Hybrid Micro-Installation Model Based on Electrochemical Battery and PV Module

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Is the end of AI in photovoltaic power? Evidence from China

Zhang, H., Yu, X., & Gao, Z. (2025) · Energy Economics · doi:10.1016/j.eneco.2025.108423 · Cited by 4

Finding the Optimum Horizon for Short-Term Solar Irradiance Forecasting Using Long Short-Term Memory (LSTM) Network

Obiora, C. N., Ali, A. A. Y., & Hasan, A. N. (2022) · International Conference on Power Science and Engineering (ICPSE) · doi:10.1109/icpse56329.2022.9935346 · Cited by 4

Application of Recurrent Neural Network Model for Short Term Photovoltaic Generation Forecasting

Dinesh, L. P., Khafaf, N. A., & McGrath, B. P. (2022) · Australasian Universities Power Engineering Conference · doi:10.1109/aupec58309.2022.10216175 · Cited by 4

Design of a thermoelectric energy source for water pumping applications: A case study in Sharjah, United Arab Emirates

Obaid, W., Hamid, A.-K., Ghenaï, C., & Assad, M. E. H. (2021) · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · doi:10.11591/ijece.v11i6.pp4751-4758 · Cited by 4

Comparative Study on Solar PV Module Performance with Sun Irradiance Trapping Mechanism: Power Generation Forecasting Using Machine Learning

Pachauri, R. K., Shukla, A. K., Minai, A. F., Pradhan, A., Gupta, V., Kumar, M., & Shashikant (2024) · Lecture notes in electrical engineering · doi:10.1007/978-981-99-6749-0_12 · Cited by 3

Support Vector Regression based Forecasting of Solar Irradiance

Shimpi, A. V., Chandrasekar, A., Keshava, A., & Vinatha, U. (2022) · Asian Conference on Innovation in Technology (ASIANCON) · doi:10.1109/asiancon55314.2022.9908853 · Cited by 3

Implications of Machine Learning in the Generation of Renewable Energies in Latin America from a Globalized Vision: A Systematic Review

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Design of a photovoltaic system to cover the energy demand of a home in the Rocafuerte Canton, Manabí Province

Carbo-Mendoza, M. A., Cabrera-González, L. F., Ponce-Reyes, I. F., & Bazurto-Briones, L. A. (2022) · International Journal of Physical Sciences and Engineering · doi:10.53730/ijpse.v6n2.9286 · Cited by 3

Prediction of Short-Term Solar Radiation Using Machine Learning Methods

Singh, P. K., Saraswat, A., Gupta, Y., & Goyal, S. K. (2022) · Lecture notes in electrical engineering · doi:10.1007/978-981-19-0588-9_17 · Cited by 2

Comparative analysis of machine learning and hybrid models for global horizontal irradiance prediction: a case study in Morocco

Ghiate, S. (2025) · International Journal of Energy and Water Resources · doi:10.1007/s42108-025-00429-w · Cited by 2

A Review on Machine Learning Techniques in IoT-Based Smart Grid Applications

Goyal, S., Goyal, I., & Ahmed, T. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-53082-1_13 · Cited by 2

Advancements in Energy Harvesting Technologies with a Focus on Solar Energy Solutions

Zaman, A., & Amritanjali, N. A. (2024) · International BIT Conference (BITCON) · doi:10.1109/bitcon63716.2024.10984902 · Cited by 2

AdaSpline-Net for Improved Short-Term Solar Irradiance Forecasting

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Dynamic programming based optimal renewable energy allocation in sustained wireless sensor networks

Sharma, A., & Kakkar, A. (2018) · Journal of Renewable and Sustainable Energy · doi:10.1063/1.5043126 · Cited by 2

Design of Agricultural Environmental Data Collection System Based on Internet of Things

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Radial Basis Function for Solar Irradiance Forecasting in Equatorial Areas

Lima, M. A. F. B., de Carvalho, P. C. M., Braga, A. P. S., Pereira, R. I. S., Jucá, S. C. S., RAMIREZ, L. M. F., & Leite, J. R. (2019) · Renewable Energy and Power Quality Journal · doi:10.24084/repqj17.288 · Cited by 2

Solar Radiation Forecasting Using Ensemble-Based Hybrid LGBM-GB-MLP Model: A Novel Stacked Generalization MethodPreprint

Nziyumva, E., Hu, R., Xu, Y. N., Niyogisubizo, J., Li, Z., & Nshimyumukiza, P. C. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4076358 · Cited by 2

Strategic Forecasting of Renewable Energy Production for Sustainable Electricity Supply: A Machine Learning Approach Considering Environmental, Economic, and Oil Factors in TurkeyPreprint

Keskin, A., Atalan, Y. A., & Atalan, A. (2024) · Research Square · doi:10.21203/rs.3.rs-4325977/v1 · Cited by 2

Design and deployment of an IoT-enabled Helio Predictor for building energy Trend Analysing system

Vigneshwaran, J., Valliammai, A., Raja, S. C., Dharssini, A. C. V., & Prakash, R. R. (2024) · Energy and Buildings · doi:10.1016/j.enbuild.2024.115234 · Cited by 1

AI Versus Nature: Navigating the Complex Interplay of Technology and the Environment

Barbara Caputo, B., Tavera, A., Cermelli, F., & Marseglia, G. R. (2024) · Progress in IS · doi:10.1007/978-3-031-73514-1_2 · Cited by 1

Assessment of Self-Reliant Electric Vehicle Charging System Variables

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Synergistic Computing for Sustainable Energy Systems: A Review of Genetic Algorithm-Enhanced Approaches in Hydrogen, Wind, Solar, and Bioenergy Applications

Wilk-Jakubowski, J. Ł., Pawlik, Ł., Ciopiński, L., & Wilk-Jakubowski, G. (2025) · Energies · doi:10.3390/en18226027 · Cited by 1

Ensemble-Based Solar GTI Prediction Using Random Forest with Kneedle-Guided Data Partitioning

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K-NN Decomposition Artificial Neural Network Models for Global Solar

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Comparative Analysis of Univariate and Multivariate Models for Solar Irradiance Forecasting

Singh, S. K., Yadav, S., Bjelić, I. B., & Singh, R. (2023) · International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST) · doi:10.1109/icest58410.2023.10187242 · Cited by 1

Forecasting Global Horizontal Irradiance to Evaluate Battery Capacity under PV Uncertainty in a Rural Area of Bangladesh

Arka, B. R. J., Gupta, A. S., Roy, S. C., & Kunda, P. (2024) · International Conference on Electrical Engineering and Information Communication Technology · doi:10.1109/iceeict62016.2024.10534405 · Cited by 1

Impact of Digital Technologies on Procurement and Supply Chain Management in the Manufacturing Sector

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An Empiric-Stochastic Approach, Based on Normalization Parameters, to Simulate Solar Irradiance

Osorio‐de‐la‐Rosa, E., Becerra, G., Palafox-Roca, A. O., & Ledesma-Alonso, R. (2019) · Journal of Solar Energy Engineering · doi:10.1115/1.4043863 · Cited by 2

Machine Learning Application for Solar PV Forecasting

Khan, A., Khursheed, M. D., Li, J., Ahmad, F., & Khan, A. N. (2024) · doi:10.1002/9781394167678.ch9 · Cited by 1

Predicting Solar PV Generation Using Weather Station Data

AL-Nouman, J. A., & Al-Gahmi, A. (2022) · Springer proceedings in energy · doi:10.1007/978-3-031-08786-8_18

Predição de radiação solar usando algoritmos de aprendizagem de máquina e parâmetros meteorológicos.

Viscondi, G. D. F. (2022) · doi:10.11606/d.3.2022.tde-22052023-111138

A Predictive Framework for Temperature Forecasting Using Machine Learning

Sandal, K., Harsh, H., & Pabreja, K. (2023) · Lecture notes in networks and systems · doi:10.1007/978-981-19-9888-1_38

Self-supervised learning based multi-modal intra-hour irradiance forecast

Shan, S., Dou, W., Zhang, K., & Wei, H. (2023) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc58219.2023.10327408

An Assisted SVM Model Using Repeated Wavelet Transform for Daily Solar Irradiance ForecastsPreprint

Aasim (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4884575

Prediction of photovoltaic resources based on deep learning

Zeng, Z., Feng, J., Hu, L., Huang, W., & Peng, Y. (2024) · International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT) · doi:10.1117/12.3031326

Developing a Safety Training Program Focusing on Machine Maintenance

Mofokeng, M., & Tshabalala, T. (2025) · International Conference on Industrial Engineering and Operations Management (IEOM) · doi:10.46254/af6.20250241

Machine Learning for Solar Energy Prediction

Siddiqui, D., Bhattacharya, A., & Pradhan, V. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-1434-1.ch010

Numerical prediction of solar radiation in South Korea: assessment of WRF-Solar and WRF

Yoon, J. W., Kim, H., Jung, H. S., & Park, S. K. (2025) · Energy Conversion and Management X · doi:10.1016/j.ecmx.2025.101253

Time Series Prediction of Photovoltaic Energy Using Machine Learning Approach-a Review

Hassan, I. U., & Kumar, A. (2025) · International Conference on Computing Technologies & Data Communication (ICCTDC) · doi:10.1109/icctdc64446.2025.11158113

Study on the Impact of Low-Cost Sensor Alternatives for Photovoltaic Panel Modelling in Smart Grid Applications

Díaz-Labrador, A., Delgado, Á., Pérez-Iglesias, H. J., Fontenla-Romero, Ó., & ROLLE, J. L. C. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-02728-3_24

Artificial intelligence for the energy sector/industry

Sharshir, S. W., Joseph, A., & Elsayad, M. M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-34019-2.00003-1

Novel incremental machine learning approach for predicting photovoltaic power in systems with hydrophobic coating

Khandakar, A., Gonzales, A. J. R. S. P., Rahman, A., Thomas, K., Khelifi, B., & Touati, F. (2026) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2026.111075

A Comprehensive Framework for Photovoltaic Energy Prediction Using Machine Learning: Design, Deployment, and Benchmarking

Hassan, I. U., & Kumar, A. (2025) · Asia Pacific Conference on Innovation in Technology (APCIT) · doi:10.1109/apcit65661.2025.11410734

SDF-Net: Solar-aware Decoupled Fusion Network for intra-hour forecasting of photovoltaic power

Liu, M., & Ling, Q. (2026) · Renewable Energy · doi:10.1016/j.renene.2026.125890

Machine learning approaches in solar forecasting across different climate types: A unified evaluation framework

Xu, L., Zhang, L., Chemisana, D., & Wu, Y. (2026) · Renewable Energy · doi:10.2139/ssrn.6913301

Predictive modelling of solar irradiation forecasting with machine learning: A comprehensive review of advances, challenges and applications

Atsbeha, A. K., Girma, M., & Baheta, A. T. (2026) · Energy Reports · doi:10.1016/j.egyr.2026.109546

Physics-Informed Hybrid Machine Learning for Deployment-Specific Temperature Prediction and Thermal Efficiency Loss Analysis of Land-Based and Floating Photovoltaic SystemsPreprint

Azam, S., Shaha, T. K., Joy, S., & Sabbir, M. J. I. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7286860

Hybrid WRF–Machine Learning Irradiance Correction, POA Transposition, and PV Module Thermal Modeling for Photovoltaic Forecasting-Input Assessment and Monitoring

Meflah, A., Chekired, F., & Canale, L. (2026) · Electronics · doi:10.3390/electronics15184090

Strategic Approaches for Post‐Processing Techniques in Global Tilted Irradiance Conversion

del Pozo, F. E., Kim, C. K., & Kim, H. (2026) · International Journal of Energy Research · doi:10.1155/er/5541893

Solar Irradiance Forecasting Using Runge-Kutta Based Continuous-Time Recurrent Neural Network

Pandit, B., Chaudhary, S., & Kumar, R. (2026) · Control Instrumentation System Conference (CISCON) · doi:10.1109/ciscon71603.2026.11709312

Short-Term Solar Irradiance Forecasting Using a Dual Gaussian Process Regression-Particle Filter Framework with Limited Meteorological Measurements

Qian, C., Shi, W., & Chen, J. (2026) · Energies · doi:10.3390/en19215055

Combined Machine Learning and Physics-Based Forecaster for Intra-day and 1-Week Ahead Solar Irradiance Forecasting Under Variable Weather ConditionsPreprint

Riggs, H., Tufail, S., Tariq, M., & Sarwat, A. I. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2303.09073

Forecasting of Solar Irradiance using Machine Learning Techniques

Mishra, S., Pandey, D., & Bhardwaj, S. (2024) · International Conference on Signal Processing and Advance Research in Computing (SPARC) · doi:10.1109/sparc61891.2024.10828799 · Cited by 1

Ensemble of machine learning and spatiotemporal parameters to forecast very short-term solar irradiation to compute photovoltaic generators’ output power

Rodríguez, F., Martín, F., Fontán, L., & Galarza, A. (2021) · Energy · doi:10.1016/j.energy.2021.120647 · Cited by 57

Forecasting Short-Term Solar Irradiance and Power Generation of Solar Pv Power Station Through Machine Learning ModelsPreprint

Jaini, S. N. B., & Lee, D. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3912601

Solar Irradiance Prediction with Machine Learning Algorithms: A Brazilian Case Study on Photovoltaic Electricity Generation

Viscondi, G. D. F., & Alves-Souza, S. N. (2021) · Energies · doi:10.3390/en14185657 · Cited by 44