Modeling and control of nuclear reactor cores for electricity generation: A review of advanced technologies
G Li, X Wang, B Liang, X Li, B Zhang, Y Zou - Renewable and Sustainable …, 2016 - Elsevier
This investigation is to review advanced technologies for modeling and control of reactor
cores in nuclear power plants for electricity generation. A reactor core in a nuclear power …
cores in nuclear power plants for electricity generation. A reactor core in a nuclear power …
Short-term load forecasting based on big data technologies
P Zhang, X Wu, X Wang, S Bi - CSEE Journal of Power and …, 2015 - ieeexplore.ieee.org
With the construction of smart grid, lots of renewable energy resources such as wind and
solar are deployed in power system. It might make the power system load varied complex …
solar are deployed in power system. It might make the power system load varied complex …
Analysis of classical and machine learning based short-term and mid-term load forecasting for smart grid
The evolution of advanced metering infrastructure (AMI) has increased the electricity
consumption data in real-time manifolds. Using this massive data, the load forecasting …
consumption data in real-time manifolds. Using this massive data, the load forecasting …
A distributed short-term load forecasting method based on local weather information
D Liu, L Zeng, C Li, K Ma, Y Chen… - IEEE Systems …, 2016 - ieeexplore.ieee.org
A centralized forecasting method is difficult to accurately follow load variation and weather
diversity throughout the region in a bulk power system that covers a large geographical …
diversity throughout the region in a bulk power system that covers a large geographical …
Classification of NPPs transients using change of representation technique: a hybrid of unsupervised MSOM and supervised SVM
K Moshkbar-Bakhshayesh, S Mohtashami - Progress in Nuclear Energy, 2019 - Elsevier
This study introduces a new identifier for nuclear power plants (NPPs) transients. The
proposed identifier changes the representation of input patterns. Change of representation …
proposed identifier changes the representation of input patterns. Change of representation …
An integrated prediction model of heavy metal ion concentration for iron electrocoagulation process
In the electrocoagulation process of the heavy metal wastewater treatment, the acquisition of
the heavy metal ions concentration at outlet requires long-term analysis, resulting in delayed …
the heavy metal ions concentration at outlet requires long-term analysis, resulting in delayed …
An interpretable time series data prediction framework for severe accidents in nuclear power plants
Y Fu, D Zhang, Y Xiao, Z Wang, H Zhou - Entropy, 2023 - mdpi.com
Accurately predicting severe accident data in nuclear power plants is of utmost importance
for ensuring their safety and reliability. However, existing methods often lack interpretability …
for ensuring their safety and reliability. However, existing methods often lack interpretability …
An initial study on load forecasting considering economic factors
H Sangrody, N Zhou - 2016 IEEE Power and Energy Society …, 2016 - ieeexplore.ieee.org
This paper proposes a new objective function and quantile regression (QR) algorithm for
load forecasting (LF). In LF, the positive forecasting errors often have different economic …
load forecasting (LF). In LF, the positive forecasting errors often have different economic …
[HTML][HTML] Artificial neural network reconstructs core power distribution
W Li, P Ding, W Xia, S Chen, F Yu, C Duan… - Nuclear Engineering …, 2022 - Elsevier
To effectively monitor the variety of distributions of neutron flux, fuel power or temperatures
in the reactor core, usually the ex-core and in-core neutron detectors are employed. The …
in the reactor core, usually the ex-core and in-core neutron detectors are employed. The …
针对PM2. 5 单时间序列数据的动态调整预测模型
张熙来， 赵俭辉， 蔡波 - 自动化学报, 2018 - aas.net.cn
针对细颗粒物PM2. 5 的浓度预测, 本文提出了基于单时间序列数据的动态调整模型.
在动态指数平滑算法中, 指数平滑次数与参数基于样本数据并借助二分查找进行调整 …
在动态指数平滑算法中, 指数平滑次数与参数基于样本数据并借助二分查找进行调整 …