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A Spatial-Temporal Data-Driven Deep Learning Framework for Enhancing Short-Term Prediction of Distributed Photovoltaic Power Generation

https://doi.org/10.2139/ssrn.4672654
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Regional forecasts of photovoltaic power generation according to different data availability scenarios: a study of four methods
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Experimental comparison of representation methods and distance measures for time series data
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A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network
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Photovoltaic power forecast based on satellite images considering effects of solar position
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Short-term wind power forecasting using wavelet-based neural network
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Solar photovoltaic generation forecasting methods: A review
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A satellite image data based ultra-short-term solar PV power forecasting method considering cloud information from neighboring plant
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Time series forecasting for hourly photovoltaic power using conditional generative adversarial network and Bi-LSTM
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Accurate solar PV power prediction interval method based on frequency-domain decomposition and LSTM model
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Deep neural network for forecasting of photovoltaic power based on wavelet packet decomposition with similar day analysis
inferredcites →https://doi.org/10.1016/j.energy.2023.127807openalex-extracted
Machine learning for forecasting a photovoltaic (PV) generation system
inferredcites →https://doi.org/10.1016/j.energy.2023.127952openalex-extracted
Intra-hour photovoltaic forecasting through a time-varying Markov switching model
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A novel structural adaptive discrete grey prediction model and its application in forecasting renewable energy generation
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Video anomaly detection with multi-scale feature and temporal information fusion
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A new method based on Type-2 fuzzy neural network for accurate wind power forecasting under uncertain data
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Short-term self consumption PV plant power production forecasts based on hybrid CNN-LSTM, ConvLSTM models
inferredcites →https://doi.org/10.1016/j.renene.2021.10.102openalex-extracted
Operational day-ahead solar power forecasting for aggregated PV systems with a varying spatial distribution
inferredcites →https://doi.org/10.1016/j.solener.2017.03.007openalex-extracted
A probabilistic approach to the estimation of regional photovoltaic power production
inferredcites →https://doi.org/10.1016/j.solener.2017.09.068openalex-extracted
Data-driven upscaling methods for regional photovoltaic power estimation and forecast using satellite and numerical weather prediction data
inferredcites →https://doi.org/10.1049/iet-rpg.2019.0949openalex-extracted
Improved convolutional neural network‐based quantile regression for regional photovoltaic generation probabilistic forecast
inferredcites →https://doi.org/10.1080/15567036.2022.2104410openalex-extracted
Short-term electricity consumption forecasting with NARX, LSTM, and SVR for a single building: small data set approach
inferredcites →https://doi.org/10.1109/jphotov.2019.2898521openalex-extracted
Prediction Model for PV Performance With Correlation Analysis of Environmental Variables
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A Generative Adversarial Gated Recurrent Unit Model for Precipitation Nowcasting
inferredcites →https://doi.org/10.1109/lgrs.2021.3109259openalex-extracted
ATMConvGRU for Weather Forecasting
inferredcites →https://doi.org/10.1109/tpwrs.2016.2608740openalex-extracted
Probabilistic Forecasting of Photovoltaic Generation: An Efficient Statistical Approach
inferredcites →https://doi.org/10.1109/tste.2021.3123476openalex-extracted
Short-term Solar Power Prediction Learning Directly from Satellite Images With Regions of Interest
inferredcites →https://doi.org/10.1111/stan.12111openalex-extracted
Analytic posteriors for Pearson's correlation coefficient
inferredcites →https://doi.org/10.1145/2723372.2737793openalex-extracted
k-Shape
inferredcites →https://doi.org/10.1145/3065386openalex-extracted
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.2139/ssrn.3897783openalex-extracted
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Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
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Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.1506.04214openalex-extracted
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
inferredcites →https://doi.org/10.48550/arxiv.1706.03458openalex-extracted
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
inferredcites →https://doi.org/10.48550/arxiv.1902.01453openalex-extracted
PVNet: A LRCN Architecture for Spatio-Temporal Photovoltaic PowerForecasting from Numerical Weather Prediction
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