R-NP model uses DS-HDP-HMM regime detection plus per-regime CNPs to produce regime-weighted price forecasts that rank as the most balanced option under TOPSIS across 2021-2023 when tested in battery arbitrage and grid-service tasks.
Optimal trading with regime switching: numerical and analytic techniques applied to valuing storage in an elec- tricity balancing market
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Regime-Aware Conditional Neural Processes with Multi-Criteria Decision Support for Operational Electricity Price Forecasting
R-NP model uses DS-HDP-HMM regime detection plus per-regime CNPs to produce regime-weighted price forecasts that rank as the most balanced option under TOPSIS across 2021-2023 when tested in battery arbitrage and grid-service tasks.