Solar Irradiance Forecasting

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

10 shown of 10 papers with code (22 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Large width penalization for neural network-based prediction interval estimation
  28 Nov 2024 1 repository listed
  This study aims to reduce the large PI width from the PI estimation method by proposing a new PI loss function that penalizes the average of the large PI widths more heavily.
• Short-Term Solar Irradiance Forecasting Under Data Transmission Constraints
  19 Mar 2024 1 repository listed
  We report a data-parsimonious machine learning model for short-term forecasting of solar irradiance.
• Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering Tasks
  15 Jan 2024 1 repository listed
  Computational efficiency and robustness are essential in process modeling, optimization, and control for real-world engineering applications.
• Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context
  1 Jun 2023 1 repository listed
  Solar power harbors immense potential in mitigating climate change by substantially reducing CO₂ emissions.
• Solar Irradiance Anticipative Transformer
  29 May 2023 1 repository listed
  This paper proposes an anticipative transformer-based model for short-term solar irradiance forecasting.
• Day-Ahead Hourly Solar Irradiance Forecasting Based on Multi-Attributed Spatio-Temporal Graph Convolutional Network
  21 Sep 2022 1 repository listed
  By comparing the proposed model with existing models, we also investigated the contributions of (i) the spatial adjacency of the stations, (ii) temporal changes in the meteorological variables, and (iii) the variety of…
• Solar Irradiance Forecasting with Transformer Model
  2 Sep 2022 1 repository listed
  Solar energy is one of the most popular sources of renewable energy today.
• Detection of Clouds in Multiple Wind Velocity Fields using Ground-based Infrared Sky Images
  7 May 2021 1 repository listed
  The optimal decision criterion to find the number of clusters in the mixture models is analyzed and compared between different Bayesian metrics and a sequential hidden Markov model.
• Comparative Analysis of Methods for Cloud Segmentation in Ground-Based Infrared Images
  13 Dec 2020 1 repository listed
  The performances of supervised and unsupervised learning methods in cloud segmentation are evaluated.
• An Integrated Multi-Time-Scale Modeling for Solar Irradiance Forecasting Using Deep Learning
  7 May 2019 1 repository listed
  In this research work, we propose a unified architecture for multi-time-scale predictions for intra-day solar irradiance forecasting using recurrent neural networks (RNN) and long-short-term memory networks (LSTMs).