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Jiehong Kong

Research Scientist

Jiehong Kong

Research Scientist

Jiehong Kong
Phone: 980 05 136
Email:
Department: Energy Systems
Office: Trondheim

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/1836726/

This paper investigates and discusses the current and future role of machine learning (ML) within the hydropower sector. An overview of the main applications of ML in the field of hydropower operations is presented to show the most common topics that have been addressed in the scientific literature...

Authors Chiara Bordin Hans Ivar Skjelbred Jiehong Kong Zhirong Yang
Year 2020
Type Academic article
Publication
https://www.sintef.no/en/publications/publication/1727605/

Optimization tools are widely used for solving the short-term hydro scheduling (STHS) problem in a cascaded hydro system. In a mixed integer linear programming (MILP)-based formulation, the nonlinear and non-convex hydropower production function (HPF) is represented by piecewise linear approximation...

Authors Hans Ivar Skjelbred Jiehong Kong Olav B Fosso
Year 2019
Type Academic article
Publication
https://www.sintef.no/en/publications/publication/1727615/

The short-term hydro scheduling (STHS) problem aims at determining the optimal power generation schedules for either a single hydropower plant or an integrated system of cascaded watercourses during a time horizon from a single day to one week. Traditionally, an aggregated plant concept is usually...

Authors Jiehong Kong Hans Ivar Skjelbred Olav B Fosso
Year 2019
Type Academic article