Streamflow forecasting method with a hybrid physical process-mathematical statistic

A Vine Copula‐Based Polynomial Chaos Framework for Improving Multi‐Model Hydroclimatic Projections at a Multi‐Decadal Convection‐Permitting Scale

(2022) Boen Zhang et al.   WATER RESOURCES RESEARCH

Analysis and Forecasting of Wetness-Dryness Encountering of a Multi-Water System Based on a Vine Copula Function-Bayesian Network

(2022) Sen Wang et al.   Water

Enhanced LSTM model for daily runoff prediction in the upper huai river basin, china

(2022) Yuanyuan Man et al.   Engineering

Benefit of PARMA Modeling for Long-Term Hydroelectric Scheduling Using Stochastic Dual Dynamic Programming

(2021) Y. Mbeutcha et al.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT

Physics-guided deep learning for rainfall-runoff modeling by considering extreme events and monotonic relationships

(2021) Kang Xie et al.   JOURNAL OF HYDROLOGY

Dynamic long-term streamflow probabilistic forecasting model for a multisite system considering real-time forecast updating through spatio-temporal dependent error correction

(2021) Ran Mo et al.   JOURNAL OF HYDROLOGY

An improved long short-term memory network for streamflow forecasting in the upper Yangtze River

(2020) Shuang Zhu et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Multiple-risk assessment of water supply, hydropower and environment nexus in the water resources system

(2020) Lu Chen et al.   JOURNAL OF CLEANER PRODUCTION

Machine learning assisted hybrid models can improve streamflow simulation in diverse catchments across the conterminous US

(2020) Goutam Konapala et al.   Environmental Research Letters

Multi-step wind speed prediction by combining a WRF simulation and an error correction strategy

(2020) Weifeng Xu et al.   RENEWABLE ENERGY

Probabilistic Projections of Multidimensional Flood Risks at a Convection‐Permitting Scale

(2020) B. Zhang et al.   WATER RESOURCES RESEARCH

EALSTM-QR: Interval wind-power prediction model based on numerical weather prediction and deep learning

(2020) Xiaosheng Peng et al.   ENERGY

Monthly Streamflow Simulation for the Headwater Catchment of the Yellow River Basin With a Hybrid Statistical‐Dynamical Model

(2019) Wenzhuo Wang et al.   WATER RESOURCES RESEARCH

Identifying long-term effects of using hydropower to complement wind power uncertainty through stochastic programming

(2019) Bin Xu et al.   APPLIED ENERGY

Assessing the effects of adaptation measures on optimal water resources allocation under varied water availability conditions

(2018) Dedi Liu et al.   JOURNAL OF HYDROLOGY

Assessment of machine learning techniques for deterministic and probabilistic intra-hour solar forecasts

(2018) Hugo T.C. Pedro et al.   RENEWABLE ENERGY

Monthly runoff forecasting based on LSTM–ALO model

(2018) Xiaohui Yuan et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

A Stochastic Simulation Model for Monthly River Flow in Dry Season

(2018) Wenzhuo Wang et al.   Water

Real-Time Optimal Flood Control Decision Making and Risk Propagation Under Multiple Uncertainties

(2017) Feilin Zhu et al.   WATER RESOURCES RESEARCH

Streamflow forecast uncertainty evolution and its effect on real-time reservoir operation

(2016) Lu Chen et al.   JOURNAL OF HYDROLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Monthly streamflow prediction using modified EMD-based support vector machine

(2014) Shengzhi Huang et al.   JOURNAL OF HYDROLOGY