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A Hybrid Ensemble Model for Interval Prediction of Solar Power Output in Ship Onboard Power Systems
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781119575016openalex-snapshot
Handbook of Marine Craft Hydrodynamics and Motion Control
inferredcites →https://doi.org/10.1002/9781119994138openalex-snapshot
Handbook of Marine Craft Hydrodynamics and Motion Control
inferredcites →https://doi.org/10.1016/j.apenergy.2017.09.063openalex-snapshot
Research and application of a combined model based on frequent pattern growth algorithm and multi-objective optimization for solar radiation forecasting
inferredcites →https://doi.org/10.1016/j.apenergy.2017.11.014openalex-snapshot
Day-ahead spatio-temporal forecasting of solar irradiation along a navigation route
inferredcites →https://doi.org/10.1016/j.energy.2017.08.065openalex-snapshot
Optimal sizing of hybrid energy storage sub-systems in PV/diesel ship power system using frequency analysis
inferredcites →https://doi.org/10.1016/j.energy.2018.01.177openalex-snapshot
Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM
inferredcites →https://doi.org/10.1016/j.ijforecast.2015.11.013openalex-snapshot
GEFCom2014: Probabilistic solar and wind power forecasting using a generalized additive tree ensemble approach
inferredcites →https://doi.org/10.1016/j.renene.2014.07.012openalex-snapshot
Very short term forecasting of the Global Horizontal Irradiance using a spatio-temporal autoregressive model
inferredcites →https://doi.org/10.1016/j.renene.2015.11.005openalex-snapshot
Forecast for surface solar irradiance at the Brazilian Northeastern region using NWP model and artificial neural networks
inferredcites →https://doi.org/10.1016/j.renene.2016.12.095openalex-snapshot
Machine learning methods for solar radiation forecasting: A review
inferredcites →https://doi.org/10.1016/j.rser.2015.04.077openalex-snapshot
Solar radiation forecasting with multiple parameters neural networks
inferredcites →https://doi.org/10.1016/j.solener.2011.02.013openalex-snapshot
Evaluation of numerical weather prediction for intra-day solar forecasting in the continental United States
inferredcites →https://doi.org/10.1016/j.solener.2016.04.049openalex-snapshot
Post-processing techniques and principal component analysis for regional wind power and solar irradiance forecasting
inferredcites →https://doi.org/10.1016/j.solener.2016.06.069openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.solener.2017.01.058openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.solener.2017.07.052openalex-snapshot
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inferredcites →https://doi.org/10.1109/appeec.2017.8308947openalex-snapshot
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Forecasting Power Output of Photovoltaic Systems Based on Weather Classification and Support Vector Machines
inferredcites →https://doi.org/10.1109/tia.2019.2904927openalex-snapshot
Pattern Classification and PSO Optimal Weights Based Sky Images Cloud Motion Speed Calculation Method for Solar PV Power Forecasting
inferredcites →https://doi.org/10.1109/tie.2015.2424399openalex-snapshot
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inferredcites →https://doi.org/10.1109/tii.2014.2365703openalex-snapshot
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inferredcites →https://doi.org/10.1109/tii.2016.2614659openalex-snapshot
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inferredcites →https://doi.org/10.1109/tii.2017.2789289openalex-snapshot
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inferredcites →https://doi.org/10.1109/tii.2019.2940098openalex-snapshot
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inferredcites →https://doi.org/10.1109/tpwrs.2015.2473097openalex-snapshot
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inferredcites →https://doi.org/10.1109/tpwrs.2015.2502423openalex-snapshot
Very Short-Term Nonparametric Probabilistic Forecasting of Renewable Energy Generation— With Application to Solar Energy
inferredcites →https://doi.org/10.1109/tpwrs.2016.2608740openalex-snapshot
Probabilistic Forecasting of Photovoltaic Generation: An Efficient Statistical Approach
inferredcites →https://doi.org/10.1109/tsg.2015.2397003openalex-snapshot
Day-Ahead Power Output Forecasting for Small-Scale Solar Photovoltaic Electricity Generators
inferredcites →https://doi.org/10.1109/tsg.2017.2728480openalex-snapshot
A Methodology for Quantifying Reliability Benefits From Improved Solar Power Forecasting in Multi-Timescale Power System Operations
inferredcites →https://doi.org/10.1109/tsmcb.2011.2168604openalex-snapshot
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inferredcites →https://doi.org/10.1109/tste.2014.2313600openalex-snapshot
A Weather-Based Hybrid Method for 1-Day Ahead Hourly Forecasting of PV Power Output
inferredcites →https://doi.org/10.1109/tste.2014.2359974openalex-snapshot
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inferredcites →https://doi.org/10.1109/tste.2016.2535466openalex-snapshot
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inferredcites →https://doi.org/10.1109/tste.2016.2544929openalex-snapshot
Compressive Spatio-Temporal Forecasting of Meteorological Quantities and Photovoltaic Power
inferredcites →https://doi.org/10.1109/tste.2016.2610523openalex-snapshot
A Probabilistic Competitive Ensemble Method for Short-Term Photovoltaic Power Forecasting
inferredcites →https://doi.org/10.1109/tste.2017.2694340openalex-snapshot
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inferredcites →https://doi.org/10.1109/tste.2018.2832634openalex-snapshot
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inferredcites →https://doi.org/10.1109/tste.2018.2847558openalex-snapshot
Probabilistic Models for Spatio-Temporal Photovoltaic Power Forecasting
inferredcites →https://doi.org/10.1109/tste.2019.2897688openalex-snapshot
Convolutional Graph Autoencoder: A Generative Deep Neural Network for Probabilistic Spatio-Temporal Solar Irradiance Forecasting
inferredcites →https://doi.org/10.1109/tste.2019.2905691openalex-snapshot
Deep Ensemble With Proliferation of PV Energy for Bidirectional Evaluation of Voltage Stability Margin
inferredcites →https://doi.org/10.1155/2014/569249openalex-snapshot
A Novel Hybrid Model for Short-Term Forecasting in PV Power Generation
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