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A Hybrid Ensemble Model for Solar Irradiance Forecasting: Advancing Digital Models for Smart Island Realization

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What this work says

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

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SOLAR UV IRRADIATION AND THE GROWTH AND DEVELOPMENT OF HIGHER PLANTS
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Recurrent inception convolution neural network for multi short-term load forecasting
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Combination of short-term load forecasting models based on a stacking ensemble approach
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Photovoltaics advancements for transition from renewable to clean energy
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Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia
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The analysis on photovoltaic electricity generation status, potential and policies of the leading countries in solar energy
inferredcites →https://doi.org/10.1016/j.rser.2018.03.065openalex-snapshot
Potential of solar energy in developing countries for reducing energy-related emissions
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Toward explainable electrical load forecasting of buildings: A comparative study of tree-based ensemble methods with Shapley values
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Random Forests
inferredcites →https://doi.org/10.1109/appeec.2011.5749026openalex-snapshot
Virtual Power Plant (VPP), Definition, Concept, Components and Types
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A Short-Term Electric Load Forecasting Scheme Using 2-Stage Predictive Analytics
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A Hybrid Tree-Based Ensemble Learning Model for Day-Ahead Peak Load Forecasting
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A Comparative Analysis of Tree-Based Models for Day-Ahead Solar Irradiance Forecasting
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User Behavior Analytics with Machine Learning for Household Electricity Demand Forecasting
inferredcites →https://doi.org/10.1109/tii.2022.3178713openalex-snapshot
Modular Design and Real-Time Simulators Toward Power System Digital Twins Implementation
inferredcites →https://doi.org/10.1109/tsg.2012.2225646openalex-snapshot
Applications and Trends of High Performance Computing for Electric Power Systems: Focusing on Smart Grid
inferredcites →https://doi.org/10.1109/tsg.2012.2231440openalex-snapshot
A Microgrid Energy Management System Based on the Rolling Horizon Strategy
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XGBoost
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Interpretable Short-Term Electrical Load Forecasting Scheme Using Cubist
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A comparative analysis of artificial neural network architectures for building energy consumption forecasting
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Hybrid Short-Term Load Forecasting Scheme Using Random Forest and Multilayer Perceptron
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inferredcites →https://doi.org/10.3390/rs15061622openalex-snapshot
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inferredcites →https://doi.org/10.3390/rs9050398openalex-snapshot
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inferredcites →https://doi.org/10.3390/s20061772openalex-snapshot
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inferredcites →https://doi.org/10.5626/ktcp.2019.25.12.602openalex-snapshot
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What points at this work

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

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Estimating, predicting and forecasting of solar irradiation: integrating empirical, temperature-based, and AI models with pollutant and meteorological data
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Enhancing multistep-ahead bike-sharing demand prediction with a two-stage online learning-based time-series model: insight from Seoul
inferred← citeshttps://doi.org/10.1007/s41748-024-00412-1openalex-snapshot
Assessing Solar Irradiance Trends and Temperature Extremes by Applying Machine Learning Based Statistical Modelling for Renewable Energy Optimization
inferred← citeshttps://doi.org/10.1007/s41748-025-00892-9openalex-snapshot
Advanced Regression Approaches for High-Fidelity Solar Radiation Prediction: Analysis of a 12-Year Meteorological Dataset from Egypt
inferred← citeshttps://doi.org/10.1016/j.jestch.2025.102188openalex-snapshot
Soiling identification and forecasting in urban environment
inferred← citeshttps://doi.org/10.1051/epjconf/202533003014openalex-snapshot
Advancing Solar Power Prediction of p-Si Panel By Considering Temperature and Solar Irradiance Fluctuations
inferred← citeshttps://doi.org/10.1109/access.2025.3526943openalex-snapshot
Attention-Driven Hybrid Ensemble Approach With Bayesian Optimization for Accurate Energy Forecasting in Jeju Island’s Renewable Energy System
inferred← citeshttps://doi.org/10.1109/icecet65726.2026.11633271openalex-snapshot
Machine Learning Models for Next-Day Forecasting of Global Horizontal Irradiance Using K-Fold & Time-Series Validation Methods
inferred← citeshttps://doi.org/10.1109/intercon67304.2025.11244700openalex-snapshot
XGBoost Based Day Ahead Solar Energy Generation Forecasting Using Trends and Periodicity Features in Historical and Weather Data
inferred← citeshttps://doi.org/10.1109/npec66512.2025.11450152openalex-snapshot
Predicting Plane-of-Array (POA) Solar Irradiance Using Machine Learning: GTI and GHI Comparison
inferred← citeshttps://doi.org/10.1371/journal.pone.0307654openalex-snapshot
Advancing ensemble learning techniques for residential building electricity consumption forecasting: Insight from explainable artificial intelligence
inferred← citeshttps://doi.org/10.3103/s0003701x25603783openalex-snapshot
AI-Driven Solar Radiation Modeling: A Multivariate Benchmark of Statistical and Machine Learning Models for Concurrent Estimation and Multi-Horizon Prediction Using Real-World Data
inferred← citeshttps://doi.org/10.3390/electronics13091659openalex-snapshot
Two-Stage Neural Network Optimization for Robust Solar Photovoltaic Forecasting
inferred← citeshttps://doi.org/10.3390/electronics13112071openalex-snapshot
SolarFlux Predictor: A Novel Deep Learning Approach for Photovoltaic Power Forecasting in South Korea
inferred← citeshttps://doi.org/10.3390/en18215627openalex-snapshot
Applications of the Digital Twin and the Related Technologies Within the Power Generation Sector: A Systematic Literature Review
inferred← citeshttps://doi.org/10.3390/pr13051524openalex-snapshot
A Type-2 Fuzzy Logic Expert System for AI Selection in Solar Photovoltaic Applications Based on Data and Literature-Driven Decision Framework
inferred← citeshttps://doi.org/10.3390/solar5010007openalex-snapshot
Enhanced Solar Photovoltaic System Management and Integration: The Digital Twin Concept
inferred← citeshttps://doi.org/10.3390/su17198909openalex-snapshot
AI-Based Virtual Assistant for Solar Radiation Prediction and Improvement of Sustainable Energy Systems
inferred← citeshttps://doi.org/10.3934/geosci.2024035openalex-snapshot
AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning
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