IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Roy, Millend, Pyltsov, Vladimir, Hu, Yinbo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CapOptix: An Options-Framework for Capacity Market Pricing
by: Roy, Millend, et al.
Published: (2025)
by: Roy, Millend, et al.
Published: (2025)
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
by: Chen, Xuxing, et al.
Published: (2024)
by: Chen, Xuxing, et al.
Published: (2024)
Integrating Distributed Energy Resources: Optimal Prosumer Decisions and Impacts of Net Metering Tariffs
by: Alahmed, Ahmed S., et al.
Published: (2022)
by: Alahmed, Ahmed S., et al.
Published: (2022)
Anomaly Detection in California Electricity Price Forecasting: Enhancing Accuracy and Reliability Using Principal Component Analysis
by: Nyangon, Joseph, et al.
Published: (2024)
by: Nyangon, Joseph, et al.
Published: (2024)
An Econometric Analysis of Large Flexible Cryptocurrency-mining Consumers in Electricity Markets
by: Majumder, Subir, et al.
Published: (2024)
by: Majumder, Subir, et al.
Published: (2024)
Empirical Validation of a Dual-Defense Mechanism Reshaping Wholesale Electricity Price Dynamics in Singapore
by: Zhenyu, Huang, et al.
Published: (2026)
by: Zhenyu, Huang, et al.
Published: (2026)
Engineering Economy: A New Paradigm for Escaping the Middle-Income Trap
by: Ergen, Mustafa
Published: (2026)
by: Ergen, Mustafa
Published: (2026)
Super-linear Scaling Behavior for Electric Vehicle Chargers and Road Map to Addressing the Infrastructure Gap
by: Wadell, Alexius, et al.
Published: (2022)
by: Wadell, Alexius, et al.
Published: (2022)
How Carbon Border Adjustment Mechanism is Energizing the EU Carbon Market and Industrial Transformation
by: Nyangon, Joseph, et al.
Published: (2026)
by: Nyangon, Joseph, et al.
Published: (2026)
Inverse Reinforcement Learning with Just Classification and a Few Regressions
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
Experimental Design for Matching
by: Wang, Chonghuan
Published: (2026)
by: Wang, Chonghuan
Published: (2026)
Unemployment Dynamics Forecasting with Machine Learning Regression Models
by: Kim, Kyungsu
Published: (2025)
by: Kim, Kyungsu
Published: (2025)
Posterior and Likelihood Sensitivity in Bayesian Distributionally Robust Optimization
by: Gotoh, Jun-ya, et al.
Published: (2026)
by: Gotoh, Jun-ya, et al.
Published: (2026)
Hashprice modulates the electricity demand response of Bitcoin miners
by: Majumder, Subir
Published: (2026)
by: Majumder, Subir
Published: (2026)
PREFER: Personalized Review Summarization with Online Preference Learning
by: Roy, Millend, et al.
Published: (2026)
by: Roy, Millend, et al.
Published: (2026)
On Sinkhorn's Algorithm and Choice Modeling
by: Qu, Zhaonan, et al.
Published: (2023)
by: Qu, Zhaonan, et al.
Published: (2023)
A Nonparametric Approach with Marginals for Modeling Consumer Choice
by: Ruan, Yanqiu, et al.
Published: (2022)
by: Ruan, Yanqiu, et al.
Published: (2022)
New Tests of Equal Forecast Accuracy for Factor-Augmented Regressions with Weaker Loadings
by: Margaritella, Luca, et al.
Published: (2024)
by: Margaritella, Luca, et al.
Published: (2024)
Load Asymptotics and Dynamic Speed Optimization for the Greenest Path Problem: A Comprehensive Analysis
by: Moradi, Poulad, et al.
Published: (2023)
by: Moradi, Poulad, et al.
Published: (2023)
Energy-Arena: A Dynamic Benchmark for Operational Energy Forecasting
by: Kleinebrahm, Max, et al.
Published: (2026)
by: Kleinebrahm, Max, et al.
Published: (2026)
Beating the Winner's Curse via Inference-Aware Policy Optimization
by: Bastani, Hamsa, et al.
Published: (2025)
by: Bastani, Hamsa, et al.
Published: (2025)
PPI-SVRG: Unifying Prediction-Powered Inference and Variance Reduction for Semi-Supervised Optimization
by: Ao, Ruicheng, et al.
Published: (2026)
by: Ao, Ruicheng, et al.
Published: (2026)
Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity
by: Li, Jin, et al.
Published: (2021)
by: Li, Jin, et al.
Published: (2021)
Nuclear Norm Regularized Estimation of Panel Regression Models
by: Moon, Hyungsik Roger, et al.
Published: (2018)
by: Moon, Hyungsik Roger, et al.
Published: (2018)
Gradient Boosting for Spatial Regression Models with Autoregressive Disturbances
by: Balzer, Michael
Published: (2025)
by: Balzer, Michael
Published: (2025)
Black-box Bayesian inference for economic agent-based models
by: Dyer, Joel, et al.
Published: (2022)
by: Dyer, Joel, et al.
Published: (2022)
When the Universe is Too Big: Bounding Consideration Probabilities for Plackett-Luce Rankings
by: Aoki-Sherwood, Ben, et al.
Published: (2024)
by: Aoki-Sherwood, Ben, et al.
Published: (2024)
From Many Models, One: Macroeconomic Forecasting with Reservoir Ensembles
by: Ballarin, Giovanni, et al.
Published: (2025)
by: Ballarin, Giovanni, et al.
Published: (2025)
Type 2 Tobit Sample Selection Models with Bayesian Additive Regression Trees
by: O'Neill, Eoghan
Published: (2025)
by: O'Neill, Eoghan
Published: (2025)
Methodological Evaluation of Regional Monitoring Networks for Adoption Rate Forecasting in Senegal
by: Sylla, Mamady, et al.
Published: (2011)
by: Sylla, Mamady, et al.
Published: (2011)
On the Estimation of Multinomial Logit and Nested Logit Models: A Conic Optimization Approach
by: Pham, Hoang Giang, et al.
Published: (2025)
by: Pham, Hoang Giang, et al.
Published: (2025)
High-Dimensional Tail Index Regression
by: Sasaki, Yuya, et al.
Published: (2024)
by: Sasaki, Yuya, et al.
Published: (2024)
On LASSO for High Dimensional Predictive Regression
by: Mei, Ziwei, et al.
Published: (2022)
by: Mei, Ziwei, et al.
Published: (2022)
Horseshoe Prior Bayesian Quantile Regression
by: Kohns, David, et al.
Published: (2020)
by: Kohns, David, et al.
Published: (2020)
Resilient Load Forecasting under Climate Change: Adaptive Conditional Neural Processes for Few-Shot Extreme Load Forecasting
by: Hu, Chenxi, et al.
Published: (2026)
by: Hu, Chenxi, et al.
Published: (2026)
Macroeconomic Forecasting and Machine Learning
by: Chi, Ta-Chung, et al.
Published: (2025)
by: Chi, Ta-Chung, et al.
Published: (2025)
HMM-LSTM Fusion Model for Economic Forecasting
by: Sivakumar, Guhan
Published: (2025)
by: Sivakumar, Guhan
Published: (2025)
Distributionally Robust Instrumental Variables Estimation
by: Qu, Zhaonan, et al.
Published: (2024)
by: Qu, Zhaonan, et al.
Published: (2024)
What Is the Alignment Tax?
by: Young, Robin
Published: (2026)
by: Young, Robin
Published: (2026)
Inference for Regression with Variables Generated by AI or Machine Learning
by: Battaglia, Laura, et al.
Published: (2024)
by: Battaglia, Laura, et al.
Published: (2024)
Similar Items
-
CapOptix: An Options-Framework for Capacity Market Pricing
by: Roy, Millend, et al.
Published: (2025) -
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
by: Chen, Xuxing, et al.
Published: (2024) -
Integrating Distributed Energy Resources: Optimal Prosumer Decisions and Impacts of Net Metering Tariffs
by: Alahmed, Ahmed S., et al.
Published: (2022) -
Anomaly Detection in California Electricity Price Forecasting: Enhancing Accuracy and Reliability Using Principal Component Analysis
by: Nyangon, Joseph, et al.
Published: (2024) -
An Econometric Analysis of Large Flexible Cryptocurrency-mining Consumers in Electricity Markets
by: Majumder, Subir, et al.
Published: (2024)