Achieving wind power and photovoltaic power prediction: An intelligent prediction system based on a deep learning approach
Accurately predicting wind and photovoltaic power is one of the keys to improving the
economy of wind-solar complementary power generation system, reducing scheduling costs …
economy of wind-solar complementary power generation system, reducing scheduling costs …
Progress and prospects of low-grade thermal energy utilization technologies
Despite significant recent progress, which has focussed and relied mainly on improvements
to the generation, storage, transmission/distribution and consumption of electricity, the …
to the generation, storage, transmission/distribution and consumption of electricity, the …
Nonlinear modeling and multi-scale influence characteristics analysis of organic Rankine cycle (ORC) system considering variable driving cycles
X Ping, F Yang, H Zhang, C Xing, Y Pan, W Zhang… - Energy, 2023 - Elsevier
The reasonable construction of the organic Rankine cycle (ORC) system model under road
conditions is the key to analyze, evaluate, and optimize the performance of the ORC system …
conditions is the key to analyze, evaluate, and optimize the performance of the ORC system …
An efficient multilayer adaptive self-organizing modeling methodology for improving the generalization ability of organic Rankine cycle (ORC) data-driven model
X Ping, F Yang, H Zhang, C Xing, A Yang… - … Applications of Artificial …, 2023 - Elsevier
The efficient and accurate model construction of an organic Rankine cycle (ORC) system is
the key to its analysis, prediction, and optimization. As a typical multidisturbance nonlinear …
the key to its analysis, prediction, and optimization. As a typical multidisturbance nonlinear …
Modeling topological nature of gas–liquid mixing process inside rectangular channel using RBF-NN combined with CEEMDAN-VMD
In this work, signal processing techniques (ie, complete ensemble empirical mode
decomposition with adaptive noise-variational mode decomposition) and neural network …
decomposition with adaptive noise-variational mode decomposition) and neural network …
Applying artificial neural network to approximate and predict the transient dynamic behavior of CO2 combined cooling and power cycle
J He, L Shi, H Tian, X Wang, X Sun, M Zhang, Y Yao… - Energy, 2023 - Elsevier
The CO 2 combined cooling and power cycle (CCP) is a promising alternative for waste heat
recovery due to its environmental friendliness and excellent performance. However, the …
recovery due to its environmental friendliness and excellent performance. However, the …
An integrated online dynamic modeling scheme for organic Rankine cycle (ORC): Adaptive self-organizing mechanism and convergence evaluation
X Ping, F Yang, H Zhang, C Xing, H Yang… - Applied Thermal …, 2023 - Elsevier
The reasonable construction of organic Rankine cycle (ORC) data-driven model is the basis
of analysis, prediction and optimization. The validity of data, the rationality of input variables …
of analysis, prediction and optimization. The validity of data, the rationality of input variables …
Hybrid machine learning models for predicting short-term wave energy flux
Wave energy flux is a critical index of available wave energy in a region. The short-term
wave energy flux prediction is conducive to implementing marine energy generation …
wave energy flux prediction is conducive to implementing marine energy generation …
An outlier removal and feature dimensionality reduction framework with unsupervised learning and information theory intervention for organic Rankine cycle (ORC)
X Ping, F Yang, H Zhang, C Xing, B Yao, Y Wang - Energy, 2022 - Elsevier
The high accuracy prediction model is the basis to investigate the organic Rankine cycle
(ORC) system performance. Compared with the traditional thermodynamic model, the data …
(ORC) system performance. Compared with the traditional thermodynamic model, the data …
Ensemble of self-organizing adaptive maps and dynamic multi-objective optimization for organic Rankine cycle (ORC) under transportation and driving environment
X Ping, F Yang, H Zhang, C Xing, A Yang, Y Yan… - Energy, 2023 - Elsevier
Efficient construction and optimization of mapping correlation of organic Rankine cycle
(ORC) system under driving environment is the key to obtain the actual waste heat recovery …
(ORC) system under driving environment is the key to obtain the actual waste heat recovery …