most citedEnhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2026

Recovering Lost Details: Multi-Scale Frequency Compensation for Long-Term Time Series Forecasting

Runmin Zou, Siyi Xie, Yaohui Huang +1

Long-term time series forecasting has made significant progress by leveraging multi-scale information to capture hierarchical temporal patterns and model long-range dependencies. H…

cs.LG2026

MFMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series Forecasting

Yaohui Huang, Runmin Zou, Yun Wang +2

Forecasting time series with extreme events is critical yet challenging due to their high variance, irregular dynamics, and sparse but high-impact nature. While existing methods ex…

cs.LG2024★ 3 cited

Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions

Guang Wu, Yun Wang, Qian Zhou +1

Accurate photovoltaic (PV) power forecasting is critical for integrating renewable energy sources into the grid, optimizing real-time energy management, and ensuring energy reliabi…