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Foundation-MoE: Sparse Residual Routing over Pretrained Time-Series Models for Day-Ahead Electricity Price Forecasting

https://doi.org/10.2139/ssrn.7292120
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inferredcites →https://doi.org/10.1016/j.apenergy.2018.02.069openalex-snapshot
Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms
inferredcites →https://doi.org/10.1016/j.apenergy.2021.116983openalex-snapshot
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark
inferredcites →https://doi.org/10.1016/j.eneco.2017.12.016openalex-snapshot
Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks
inferredcites →https://doi.org/10.1016/j.ijepes.2008.09.003openalex-snapshot
Electricity price forecasting in deregulated markets: A review and evaluation
inferredcites →https://doi.org/10.1016/j.ijforecast.2014.08.008openalex-snapshot
Electricity price forecasting: A review of the state-of-the-art with a look into the future
inferredcites →https://doi.org/10.1016/j.ijforecast.2021.03.012openalex-snapshot
Temporal Fusion Transformers for interpretable multi-horizon time series forecasting
inferredcites →https://doi.org/10.1016/j.rser.2017.05.234openalex-snapshot
Recent advances in electricity price forecasting: A review of probabilistic forecasting
inferredcites →https://doi.org/10.1109/tpwrs.2005.846054openalex-snapshot
Day-Ahead Electricity Price Forecasting Using the Wavelet Transform and ARIMA Models
inferredcites →https://doi.org/10.1109/tpwrs.2017.2734563openalex-snapshot
Variance Stabilizing Transformations for Electricity Spot Price Forecasting
inferredcites →https://doi.org/10.1145/3589334.3645434openalex-snapshot
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
inferredcites →https://doi.org/10.1145/3719207openalex-snapshot
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters
inferredcites →https://doi.org/10.1162/neco.1991.3.1.79openalex-snapshot
Adaptive Mixtures of Local Experts
inferredcites →https://doi.org/10.1162/neco.1994.6.2.181openalex-snapshot
Hierarchical Mixtures of Experts and the EM Algorithm
inferredcites →https://doi.org/10.1609/aaai.v35i12.17325openalex-snapshot
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
inferredcites →https://doi.org/10.1609/aaai.v37i6.25854openalex-snapshot
NHITS: Neural Hierarchical Interpolation for Time Series Forecasting
inferredcites →https://doi.org/10.1609/aaai.v37i9.26317openalex-snapshot
Are Transformers Effective for Time Series Forecasting?
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