Dam system and reservoir operational safety: A meta-research

A Badr, Z Li, W El-Dakhakhni - Water, 2023 - mdpi.com
Dams are critical infrastructure necessary for water security, agriculture, flood risk
management, river navigation, and clean energy generation. However, these multiple, and …

Smart cities using machine learning and intelligent applications

AG Prawiyogi, S Purnama… - … Transactions on Artificial …, 2022 - journal.pandawan.id
The goal of smart cities is to properly manage to expand urbanization, Reduce energy
usage, Enhance the economic and quality of life of the locals while also preserving the …

Dynamic programming with successive approximation and relaxation strategy for long-term joint power generation scheduling of large-scale hydropower station group

Z He, C Wang, Y Wang, B Wei, J Zhou, H Zhang, H Qin - Energy, 2021 - Elsevier
The joint optimal operation of large-scale hydropower station group (LHSG) is faced with the
higher dimension than that of cascade hydropower station, the demand for the efficient …

Development of non-deterministic energy-water-carbon nexus planning model: A case study of Shanghai, China

MS Liang, GH Huang, JP Chen, YP Li - Energy, 2022 - Elsevier
Energy, water and carbon are closely intertwined. The conflicts among increasing energy
demand, declining water resource and tightening emission target have put tremendous …

Effect of the quality of streamflow forecasts on the operation of cascade hydropower stations using stochastic optimization models

Y Liu, C Ji, Y Wang, Y Zhang, Z Jiang, Q Ma, X Hou - Energy, 2023 - Elsevier
Determining the economic value of streamflow forecasts is essential to judging the operation
of cascade hydropower systems and investing in improved forecasting systems. Previous …

Parallel improved DPSA algorithm for medium-term optimal scheduling of large-scale cascade hydropower plants

Z Fang, S Liao, C Cheng, H Zhao, B Liu, H Su - Renewable Energy, 2023 - Elsevier
Medium-term optimal scheduling of hydropower plants (MOSHPP) should be frequently
updated for recurring extreme precipitation events in China to reduce spillage and increase …

Medium-term peak shaving operation of cascade hydropower plants considering water delay time

S Liao, H Liu, Z Liu, B Liu, G Li, S Li - Renewable Energy, 2021 - Elsevier
Extreme weather lasting for 5–15 days not only brings large inflows in the medium-term but
also causes sharp fluctuations in the daytime load of the power grid which imposes …

[HTML][HTML] Flood Control Optimization Scheduling of Cascade Reservoirs in the Middle Reaches of the Gan River Based on ECDE Algorithm

Z He, L Cao, X Xin, B Wei, T Wen, C Wang, J Fu… - Water, 2024 - mdpi.com
When using a differential evolution algorithm to solve the joint flood optimization scheduling
problem of cascade reservoirs, a greedy random optimization strategy is prone to premature …

A novel deep reinforcement learning enabled agent for pumped storage hydro‐wind‐solar systems voltage control

Q Huang, W Hu, G Zhang, D Cao, Z Liu… - IET Renewable …, 2021 - Wiley Online Library
With the large‐scale penetration of wind and solar energies in the power system, the
randomness of this renewable energy increases the non‐linear characteristics and …

Expandable depth and width adaptive dynamic programming for economic smart generation control of smart grids

L Yin, S Luo, C Ma - Energy, 2021 - Elsevier
The uncertainty of renewable energy sources (RESs) puts pressure on the economic
dispatch of smart grids. However, many traditional multiple time-scales dispatching …