A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty

no code implementations • 15 Sep 2023 • Wei Jiang, Zhongkai Yi, Li Wang, Hanwei Zhang, Jihai Zhang, Fangquan Lin, Cheng Yang

Aggregating distributed energy resources in power systems significantly increases uncertainties, in particular caused by the fluctuation of renewable energy generation.

Data Augmentation energy management +2

KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution

no code implementations • 18 Aug 2022 • Fangquan Lin, Wei Jiang, Hanwei Zhang, Cheng Yang

KDD CUP 2022 proposes a time-series forecasting task on spatial dynamic wind power dataset, in which the participants are required to predict the future generation given the historical context factors.

Imputation Time Series +1

GUIM -- General User and Item Embedding with Mixture of Representation in E-commerce

no code implementations • 2 Jul 2022 • Chao Yang, Ru He, Fangquan Lin, Suoyuan Song, Jingqiao Zhang, Cheng Yang

Our goal is to build general representation (embedding) for each user and each product item across Alibaba's businesses, including Taobao and Tmall which are among the world's biggest e-commerce websites.

Contrastive Learning Marketing

CoRe: An Efficient Coarse-refined Training Framework for BERT

no code implementations • 27 Nov 2020 • Cheng Yang, Shengnan Wang, Yuechuan Li, Chao Yang, Ming Yan, Jingqiao Zhang, Fangquan Lin

In the second phase, we transform the trained relaxed BERT model into the original BERT and further retrain the model.