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 …
higher dimension than that of cascade hydropower station, the demand for the efficient …
Causal network inference in a dam system and its implications on feature selection for machine learning forecasting
PJEA Javier, MP Liponhay, CVG Dajac… - Physica A: Statistical …, 2022 - Elsevier
A fundamental goal across many research fields is to explain possible mechanisms behind
a phenomenon and infer the correct causal relationships between variables. In this work, we …
a phenomenon and infer the correct causal relationships between variables. In this work, we …
Noise as a factor of green areas soundscape creation
M Sztubecka, M Skiba, M Mrówczyńska, M Mathias - Sustainability, 2020 - mdpi.com
The article's research subject concerns soundscape acoustic perception and human
perception. The article aims to support decision-making processes, based on the subjective …
perception. The article aims to support decision-making processes, based on the subjective …
An efficient optimization method for long-term power generation scheduling of hydropower station: improved dynamic programming with a relaxation strategy
Z He, C Wang, Y Wang, H Zhang, H Yin - Water Resources Management, 2022 - Springer
Integrating the characteristics of hydropower reservoir operations into optimization methods
is an effective approach. Based on the concavity and monotonicity of hydropower reservoir …
is an effective approach. Based on the concavity and monotonicity of hydropower reservoir …
Causal Discovery from Abundant but Noisy Fuzzy Cognitive Map Set
Fuzzy cognitive maps (FCMs) play a significant role in inferring causal relationships and
modeling complex systems. In recent years, numerous FCM-based causal discovery …
modeling complex systems. In recent years, numerous FCM-based causal discovery …
The synchronization of K-valued Fuzzy cognitive maps
C Luo, X Wang - Fuzzy Sets and Systems, 2024 - Elsevier
Fuzzy cognitive maps (FCMs) with the abilities of knowledge representation and causal
reasoning have been widely applied in the control-related fields of multi-agent systems …
reasoning have been widely applied in the control-related fields of multi-agent systems …
Characterizing the hydraulic connection of cascade reservoirs for short-term generation dispatching via Gaussian process regression
X Chen, J Zhou, B Jia, X Yang, C Zhou - IEEE Access, 2020 - ieeexplore.ieee.org
The characterization of the mapping relationship (MR) between outflow of the upstream
reservoir (OUR) and inflow of the downstream reservoir (IDR) in the short-term generation …
reservoir (OUR) and inflow of the downstream reservoir (IDR) in the short-term generation …