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Machine Learning Algorithms in Forecasting of Photovoltaic Power Generation

https://doi.org/10.1109/sest.2019.8849106

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/pip.1152openalex-snapshot

Use of support vector regression and numerically predicted cloudiness to forecast power output of a photovoltaic power plant in Kitakyushu, Japan

inferredcites →https://doi.org/10.1007/978-3-319-31858-5_3openalex-snapshot

Statistical Learning for Short-Term Photovoltaic Power Predictions

inferredcites →https://doi.org/10.1016/j.egypro.2017.12.126openalex-snapshot

Forecasting Power Output of Photovoltaic System Using A BP Network Method

inferredcites →https://doi.org/10.1109/21.256541openalex-snapshot

ANFIS: adaptive-network-based fuzzy inference system

inferredcites →https://doi.org/10.1109/72.97934openalex-snapshot

A general regression neural network

inferredcites →https://doi.org/10.1109/ciasg.2014.7011546openalex-snapshot

Comparison of echo state network and extreme learning machine for PV power prediction

inferredcites →https://doi.org/10.1109/cpe.2018.8372522openalex-snapshot

Using neural networks to model and forecast solar PV power generation at Isle of Eigg

inferredcites →https://doi.org/10.1109/cyber.2015.7288041openalex-snapshot

Day-ahead hourly photovoltaic generation forecasting using extreme learning machine

inferredcites →https://doi.org/10.1109/gecs.2017.8066171openalex-snapshot

Importance based selection method for day-ahead photovoltaic power forecast using random forests

inferredcites →https://doi.org/10.1109/icamechs.2014.6911608openalex-snapshot

Distributed PV power forecasting using genetic algorithm based neural network approach

inferredcites →https://doi.org/10.1109/icsess.2017.8343021openalex-snapshot

Photovoltaic power forecasting based on Elman Neural Network software engineering method

inferredcites →https://doi.org/10.1109/naps.2013.6666912openalex-snapshot

Applying wavelets to predict solar PV output power using generalized regression neural network

inferredcites →https://doi.org/10.1111/j.1467-9892.1987.tb00435.xopenalex-snapshot

NEAREST‐NEIGHBOUR METHODS FOR TIME SERIES ANALYSIS

inferredcites →https://doi.org/10.1145/1961189.1961199openalex-snapshot

LIBSVM

inferredcites →https://doi.org/10.3390/en5051355openalex-snapshot

Short-Term Solar Irradiance Forecasting Model Based on Artificial Neural Network Using Statistical Feature Parameters

inferredcites →https://doi.org/10.48550/arxiv.1703.09851openalex-snapshot

Solar Power Forecasting Using Support Vector Regression

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Designing Solar Power Generation Output Forecasting Methods Using Time Series Algorithms: Global Warming Affected Weather Conditions

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Day‐Ahead Solar Power Forecasting Using Statistical and Machine Learning Methods

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Machine Learning Fundamentals

inferred← citeshttps://doi.org/10.1007/978-3-030-55789-8_21openalex-snapshot

Machine Learning for Water Supply Supervision

inferred← citeshttps://doi.org/10.1007/978-3-031-20398-5_12openalex-snapshot

Critical Feature Selection and Machine Learning-based Models for Monofacial and Bifacial Photovoltaics

inferred← citeshttps://doi.org/10.1007/s13369-026-11554-xopenalex-snapshot

Benchmarking Intelligent and Interpretable Models for Irradiance-Driven PV Power Prediction

inferred← citeshttps://doi.org/10.1016/j.apenergy.2021.118152openalex-snapshot

Novel machine learning approach for solar photovoltaic energy output forecast using extra-terrestrial solar irradiance

inferred← citeshttps://doi.org/10.1016/j.egyr.2024.07.010openalex-snapshot

A comparative study of machine learning approaches for an accurate predictive modeling of solar energy generation

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Exploiting building information modeling and machine learning for optimizing rooftop photovoltaic systems

inferred← citeshttps://doi.org/10.1016/j.seta.2023.103197openalex-snapshot

Hourly forecasting of the photovoltaic electricity at any latitude using a network of artificial neural networks

inferred← citeshttps://doi.org/10.1049/rpg2.70186openalex-snapshot

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

inferred← citeshttps://doi.org/10.1051/e3sconf/202130901039openalex-snapshot

Survey Analysis of Solar Power Generation Forecasting

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Data-driven thermoelectric modeling: Current challenges and prospects

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Investigating photovoltaic solar power output forecasting using machine learning algorithms

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PV Plant Power Nowcasting: A Real Case Comparative Study With an Open Access Dataset

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The Impact of Weather Conditions on Renewable Energy Production: A Machine Learning Approach

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Solar Irradiance Forecasting in Tropical Weather using an Evolutionary Lean Neural Network

inferred← citeshttps://doi.org/10.1109/icaiss58487.2023.10250567openalex-snapshot

Machine Learning based Solar PV Power Prediction

inferred← citeshttps://doi.org/10.1109/icecco67619.2026.11488833openalex-snapshot

Predicting Solar Power Generation Using Machine Learning

inferred← citeshttps://doi.org/10.1109/icieam54945.2022.9787271openalex-snapshot

Applying Machine Learning Methods for Power Plant Generation Time Series Forecasting

inferred← citeshttps://doi.org/10.1109/ickecs65700.2025.11036068openalex-snapshot

Grey Wolf Optimized Support Vector Machine for Multistep Ahead Solar Irradiance Prediction

inferred← citeshttps://doi.org/10.1109/ijcnn48605.2020.9207573openalex-snapshot

Forecasting Photovoltaic Power Production using a Deep Learning Sequence to Sequence Model with Attention

inferred← citeshttps://doi.org/10.1109/irsec53969.2021.9741154openalex-snapshot

Performance Comparison of Support Vector Regression, Random Forest and Multiple Linear Regression to Forecast the Power of Photovoltaic Panels

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Predicting Solar Photovoltaic Power Production Using Artificial Intelligence-Based Algorithms

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Dynamic Data-Driven Carbon-Based Electric Vehicle Charging Pricing Strategy Using Machine Learning

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Application of Extended Kernel Recursive Least Squares Method based on Unscented Kalman Filter in Short-term Photovoltaic Power Prediction

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Research on Photovoltaic Power Generation Power Prediction Based on LSTM-CNN

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An Intelligent Bidding Strategy based on Social Welfare of Virtual Power Plant considering Carbon Trading

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Enhancing Photovoltaic Power Predictions with Limited Timeframe Data Using Neural Network

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AI-enabled efficient PVM performance monitoring

inferred← citeshttps://doi.org/10.1155/2022/6458377openalex-snapshot

Machine Learning Approach on Time Series for PV-Solar Energy

inferred← citeshttps://doi.org/10.1155/2022/9421400openalex-snapshot

A Power Forecasting Method for Ultra-Short-Term Photovoltaic Power Generation Using Transformer Model

inferred← citeshttps://doi.org/10.11591/ijece.v14i1.pp12-21openalex-snapshot

Data quality processing for photovoltaic system measurements

inferred← citeshttps://doi.org/10.2139/ssrn.5376257openalex-snapshot

Photovoltaic Energy Forecast; Influence of Two Numerical Weather Forecast Datasets on the Performance of an Analytical and Three Machine Learning Models

inferred← citeshttps://doi.org/10.2174/9789815136173123010010openalex-snapshot

Power Generation Prediction in Solar PV system by Machine Learning Approach

inferred← citeshttps://doi.org/10.22161/ijaers.98.32openalex-snapshot

Hybrid Artificial Neural Networks for Electricity Consumption Prediction

inferred← citeshttps://doi.org/10.3103/s0003701x25600146openalex-snapshot

Data-Driven Insights into Solar Photovoltaic Forecasted Performance and Trends in Indonesia

inferred← citeshttps://doi.org/10.3390/app11177943openalex-snapshot

Principal Component Analysis and Machine Learning Approaches for Photovoltaic Power Prediction: A Comparative Study

inferred← citeshttps://doi.org/10.3390/books978-3-03928-313-2openalex-snapshot

Ensemble Forecasting Applied to Power Systems

inferred← citeshttps://doi.org/10.3390/en13010216openalex-snapshot

A Novel Ensemble Algorithm for Solar Power Forecasting Based on Kernel Density Estimation

inferred← citeshttps://doi.org/10.3390/en13236405openalex-snapshot

Novel Mode Adaptive Artificial Neural Network for Dynamic Learning: Application in Renewable Energy Sources Power Generation Prediction

inferred← citeshttps://doi.org/10.3390/en14051242openalex-snapshot

A Virtual Power Plant Solution for Aggregating Photovoltaic Systems and Other Distributed Energy Resources for Northern European Primary Frequency Reserves

inferred← citeshttps://doi.org/10.3390/en17040837openalex-snapshot

A Survey of Photovoltaic Panel Overlay and Fault Detection Methods

inferred← citeshttps://doi.org/10.3390/pr9020323openalex-snapshot

Implementation of Different PV Forecast Approaches in a MultiGood MicroGrid: Modeling and Experimental Results

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Deep Learning with Loss Ensembles for Solar Power Prediction in Smart Cities

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Evaluation of Machine Learning Algorithm on Drinking Water Quality for Better Sustainability

inferred← citeshttps://doi.org/10.61352/2023at13openalex-snapshot

Day Ahead Forecasting of Photovoltaic Power Output in Maiduguri Using Feedforward Neural Network

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