AI-Based Scheduling Models, Optimization, and Prediction for Hydropower Generation: Opportunities, Issues, and Future Directions

Abstract

Hydropower is the most prevalent source of renewable energy production worldwide. As the global demand for robust and ecologically sustainable energy production increases, developing and enhancing the current energy production processes is essential. In the past decade, machine learning has contributed significantly to various fields, and hydropower is no exception. All three horizons of hydropower models could benefit from machine learning: short-term, medium-term, and long-term. Currently, dynamic programming is used in the majority of hydropower scheduling models. In this paper, we review the present state of the hydropower scheduling problem as well as the development of machine learning as a type of optimization problem and prediction tool. To the best of our knowledge, this is the first survey article that provides a comprehensive overview of machine learning and artificial intelligence applications in the hydroelectric power industry for scheduling, optimization, and prediction.

Digitalization, Industry 4.0, Data, KPIs, Modelization and Forecast for Energy Production in Hydroelectric Power Plants: A Review

“…Review of the hydropower scheduling problem with focus on ML and artificial intelligence (AI) applications for optimization, prediction, and scheduling. [33] Scheduling problem.…”

“…Operation strategies for hydropower plants [24][25][26][27][28][29]; • Methods for the solution of scheduling problems in hydroelectric power plants [30][31][32][33][34][35]; • Modelization and control in hydroelectric power plants [26,27,[36][37][38]; • Hydropower case study collection [39].…”

Engineering Fastest Control: A New Process Control Method for Thermal Power Units

“…When T EFI = T I and ω tends to 0, the RZFG of the EFI is 1.882 times higher than that of the CI. Equation (3) shows that the EFI significantly improves the efficiency of integration compared with the CI.…”

“…The power system itself is a vast network consisting of three main components: power generation, power transmission and distribution through the power grid, and power consumption by end-users. The power generation side encompasses a diverse range of technologies, including coal-fired thermal power generation [1], gas power generation [2], hydropower generation [3], nuclear power generation [4], wind power generation [5], and photovoltaic power generation [6], among others. These different power generation systems coexist, forming a complex network to meet the energy demands of society.…”

Dam System and Reservoir Operational Safety: A Meta-Research

“…These studies can be summarized in Table 2, stating the main goal and case study for each research work. It should be noted that only the recent studies (from 2023 to 2018) are considered due to the paper space limitations, while for more information about the earlier studies, see reviews conducted by [80,[252][253][254][255][256].…”