User profiles for Zhenkun Liu
 | Liu ZhenkunNanjing University of Posts and Telecommunications Verified email at njupt.edu.cn Cited by 1623 |
A combined forecasting model for time series: Application to short-term wind speed forecasting
Wind speed forecasting has been growing in popularity, owing to the increased demand for
wind power electricity generation and developments in wind energy competitiveness. Many …
wind power electricity generation and developments in wind energy competitiveness. Many …
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm
Z Liu, P Jiang, J Wang, L Zhang - Expert Systems with Applications, 2021 - Elsevier
Wind energy has attracted considerable attention in the past decades as a low-carbon,
environmentally friendly, and efficient renewable energy. However, the irregularity of wind speed …
environmentally friendly, and efficient renewable energy. However, the irregularity of wind speed …
Decomposition-selection-ensemble forecasting system for energy futures price forecasting based on multi-objective version of chaos game optimization algorithm
P Jiang, Z Liu, J Wang, L Zhang - Resources Policy, 2021 - Elsevier
Effective crude oil and natural gas futures price forecasting is a crucial endeavor for
financial energy markets and is also a challenging work due to the nonlinear and fluctuant …
financial energy markets and is also a challenging work due to the nonlinear and fluctuant …
Ensemble system for short term carbon dioxide emissions forecasting based on multi-objective tangent search algorithm
Z Liu, P Jiang, J Wang, L Zhang - Journal of environmental management, 2022 - Elsevier
Carbon emissions play a crucial role in inducing global warming and climate change. Accurate
and stable carbon emissions forecasting is beneficial for formulating emissions reduction …
and stable carbon emissions forecasting is beneficial for formulating emissions reduction …
Hydrogen production by graphdiyne (C n H 2n− 2)-based graphdiyne/CuI/NiMn (LDHs) double S-scheme heterojunctions
Z Liu, Z Jin - Catalysis Science & Technology, 2023 - pubs.rsc.org
Graphdiyne (GDY), as the latest carbon material, has demonstrated exceptional performance
in a number of applications. The good conduction performance of GDY may promote the …
in a number of applications. The good conduction performance of GDY may promote the …
A method of reconstructing 3D model from 2D geological cross-section based on self-adaptive spatial sampling: A case study of Cretaceous McMurray reservoirs in a …
…, LIU Zhenkun, W Pangen, L Cheng, LIU Jiong - Petroleum Exploration …, 2021 - Elsevier
An orthogonal 2D training image is constructed from the geological analysis results of well
logs and sedimentary facies; the 2D probabilities in three directions are obtained through …
logs and sedimentary facies; the 2D probabilities in three directions are obtained through …
A combined forecasting system based on statistical method, artificial neural networks, and deep learning methods for short-term wind speed forecasting
Wind speed forecasting is gaining importance as the share of wind energy in electricity
systems increases. Numerous forecasting approaches have been used to predict wind speeds. …
systems increases. Numerous forecasting approaches have been used to predict wind speeds. …
Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction
Z Liu, P Jiang, KW De Bock, J Wang, L Zhang… - … Forecasting and Social …, 2024 - Elsevier
Customer retention campaigns increasingly rely on predictive analytics to identify potential
churners in a customer base. Traditionally, customer churn prediction was dependent on …
churners in a customer base. Traditionally, customer churn prediction was dependent on …
A wind speed forecasting system for the construction of a smart grid with two-stage data processing based on improved ELM and deep learning strategies
The operation and scheduling management of smart grids are important aspects, and wind
speed forecasting modules are indispensable in wind power system management. …
speed forecasting modules are indispensable in wind power system management. …
Ensemble wind speed forecasting with multi-objective Archimedes optimization algorithm and sub-model selection
Wind energy is becoming increasingly competitive and promising for renewable energy
profiles. Accurate and reliable wind speed prediction is crucial for the effective exploitation of …
profiles. Accurate and reliable wind speed prediction is crucial for the effective exploitation of …