:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hammond, Joshua Edward, Orozco, Ricardo A. Lara, Baldea, Michael, Korgel, Brian A.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2403.12873
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Using the SEKF to Transfer NN Models of Dynamical Systems with Limited Data
by: Hammond, Joshua E., et al.
Published: (2026)

Staying Alive: Online Neural Network Maintenance and Systemic Drift
by: Hammond, Joshua E., et al.
Published: (2025)

Efficient Deep Learning for Short-Term Solar Irradiance Time Series Forecasting: A Benchmark Study in Ho Chi Minh City
by: Hoang, Tin
Published: (2025)

Deep and Probabilistic Solar Irradiance Forecast at the Arctic Circle
by: Erdmann, Niklas, et al.
Published: (2024)

On the Importance of Clearsky Model in Short-Term Solar Radiation Forecasting
by: Voyant, Cyril, et al.
Published: (2025)

An Explainable, Attention-Enhanced, Bidirectional Long Short-Term Memory Neural Network for Joint 48-Hour Forecasting of Temperature, Irradiance, and Relative Humidity
by: Vamvouras, Georgios, et al.
Published: (2025)

Tailored Forecasting from Short Time Series via Meta-learning
by: Norton, Declan A., et al.
Published: (2025)

SolarTformer: A Transformer Based Deep Learning Approach for Short Term Solar Power Forecasting
by: Basu, Ankan, et al.
Published: (2026)

Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
by: Cai, Ruichu, et al.
Published: (2025)

Short-Term Regional Electricity Demand Forecasting in Argentina Using LSTM Networks
by: Oviedo, Oscar A.
Published: (2025)

Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting
by: Ma, Ziqing, et al.
Published: (2026)

Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand
by: Smyl, Slawek, et al.
Published: (2024)

SolarCrossFormer: Improving day-ahead Solar Irradiance Forecasting by Integrating Satellite Imagery and Ground Sensors
by: Schubnel, Baptiste, et al.
Published: (2025)

Loss Shaping Constraints for Long-Term Time Series Forecasting
by: Hounie, Ignacio, et al.
Published: (2024)

Hourly Short Term Load Forecasting for Residential Buildings and Energy Communities
by: Kychkin, Aleksei, et al.
Published: (2025)

Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos
by: Özalp, Elise, et al.
Published: (2023)

Quantum Long Short-Term Memory (QLSTM) vs Classical LSTM in Time Series Forecasting: A Comparative Study in Solar Power Forecasting
by: Khan, Saad Zafar, et al.
Published: (2023)

Prediction and Forecast of Short-Term Drought Impacts Using Machine Learning to Support Mitigation and Adaptation Efforts
by: Geli, Hatim M. E., et al.
Published: (2025)

Predictive Uncertainty in Short-Term PV Forecasting under Missing Data: A Multiple Imputation Approach
by: Pashmchi, Parastoo, et al.
Published: (2026)

Convolutional Long Short-Term Memory (convLSTM) for Spatio-Temporal Forecastings of Saturations and Pressure in the SACROC Field
by: Panja, Palash, et al.
Published: (2022)

Physics-Informed State Space Models for Reliable Solar Irradiance Forecasting in Off-Grid Systems
by: Abdullah, Mohammed Ezzaldin Babiker
Published: (2026)

Outperforming Self-Attention Mechanisms in Solar Irradiance Forecasting via Physics-Guided Neural Networks
by: Abdullah, Mohammed Ezzaldin Babiker, et al.
Published: (2026)

A Lightweight Multi-View Approach to Short-Term Load Forecasting
by: Guité-Vinet, Julien, et al.
Published: (2026)

Forecasting Ferry Passenger Flow Using Long-Short Term Memory Neural Networks
by: Fesalbon, Daniel
Published: (2024)

ECTO: Exogenous-Conditioned Temporal Operator for Ultra-Short-Term Wind Power Forecasting
by: Yuan, Cao, et al.
Published: (2026)

STAA: Spatio-Temporal Alignment Attention for Short-Term Precipitation Forecasting
by: Chen, Min, et al.
Published: (2024)

VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints
by: Wang, Xinyu, et al.
Published: (2025)

Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition
by: Jiang, Yuqi, et al.
Published: (2024)

Short-Term Photovoltaic Forecasting Model for Qualifying Uncertainty during Hazy Weather
by: Yang, Xuan, et al.
Published: (2024)

Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey
by: Dong, Qi, et al.
Published: (2024)

TCNFormer: Temporal Convolutional Network Former for Short-Term Wind Speed Forecasting
by: Zim, Abid Hasan, et al.
Published: (2024)

Short-Term Electricity Demand Forecasting of Dhaka City Using CNN with Stacked BiLSTM
by: Akhter, Kazi Fuad Bin, et al.
Published: (2024)

Short-Term Power Demand Forecasting for Diverse Consumer Types to Enhance Grid Planning and Synchronisation
by: Diaz-Iglesias, Asier, et al.
Published: (2025)

Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving
by: Hu, Xuemin, et al.
Published: (2024)

Geographic Transferability of Machine Learning Models for Short-Term Airport Fog Forecasting
by: Castillo, Marcelo Cerda
Published: (2025)

Sensor Response-Time Reduction using Long-Short Term Memory Network Forecasting
by: Ward, Simon J., et al.
Published: (2024)

Adaptive Bayesian Very Short-Term Wind Power Forecasting Based on the Generalised Logit Transformation
by: Shen, Tao, et al.
Published: (2025)

StoxLSTM: A Stochastic Extended Long Short-Term Memory Network for Time Series Forecasting
by: Wang, Zihao, et al.
Published: (2025)

QGAPHEnsemble : Combining Hybrid QLSTM Network Ensemble via Adaptive Weighting for Short Term Weather Forecasting
by: Sen, Anuvab, et al.
Published: (2025)

Legendre Memory Unit with A Multi-Slice Compensation Model for Short-Term Wind Speed Forecasting Based on Wind Farm Cluster Data
by: Zhang, Mumin, et al.
Published: (2026)