Jianzhou Wang
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
CoRR, March, 2026
An innovative decision-making system integrating multifractal analysis and volatility forecasting.
Ann. Oper. Res., February, 2026
Short-term electricity load forecasting with multi-frequency reconstruction diffusion.
Inf. Sci., 2026
Volatility-aware sample re-weighting framework for short-term photovoltaic power forecasting.
Inf. Process. Manag., 2026
PMFM-kdTransformer: An enhanced multi-modal fusion architecture leveraging knowledge distillation for intra-hour solar irradiance prediction.
Inf. Fusion, 2026
Data-driven heterogeneous ensemble forecasting framework incorporating multi-scale criteria.
Expert Syst. Appl., 2026
A combined short-term power load forecasting system based on generative adversarial networks.
Eng. Appl. Artif. Intell., 2026
Multidimensional data fusion and explainable modeling for electricity demand forecasting.
Appl. Soft Comput., 2026
A robust framework for long-term photovoltaic power prediction through dual-mode modeling with transfer learning.
Appl. Soft Comput., 2026
Adapting to drift: Weather-pattern experts for short-term photovoltaic power forecasting.
Adv. Eng. Informatics, 2026
2025
Maximizing the lender's profit: profit-oriented loan default prediction based on a weighting model.
Ann. Oper. Res., October, 2025
Multimodal Optimization Forecasting Model Based on Intelligent Fuzzy Interval Reconstruction.
Oper. Res. Forum, September, 2025
A complementary time-frequency domain approach for short-term photovoltaic power forecasting.
J. Supercomput., July, 2025
ETDS: A Novel Electricity Theft Detection System for Highly Unbalanced Data in Smart Grids.
IEEE Trans. Ind. Informatics, March, 2025
Integrating Analyst-Forecasting Indicators into Business Intelligence Systems for Data-Driven Financial Distress Prediction.
Syst., 2025
Wind power generation forecasting system based on multi-model intelligent fusion strategy and probabilistic forecasting technology.
Neural Networks, 2025
A multi-input and three-output wind speed point-interval prediction system based on constrained many-objective optimization problem.
Inf. Sci., 2025
Inf. Sci., 2025
Graph-constrained quantile regression: Unifying structured regularization and robust modeling for enhanced accuracy and interpretability.
Inf. Sci., 2025
Expert Syst. Appl., 2025
Probabilistic prediction system based on quantile deep learning model and multi-level information recognition.
Expert Syst. Appl., 2025
A novel carbon price forecasting model integrating mixed-frequency modeling into the transformer architecture from a multi-factor perspective.
Expert Syst. Appl., 2025
Study on deterministic and interval forecasting of electricity load based on multi-objective whale optimization algorithm and transformer model.
Expert Syst. Appl., 2025
Eng. Appl. Artif. Intell., 2025
Prediction and rationality analysis of new energy vehicle sales in China with a novel intelligent buffer operator.
Eng. Appl. Artif. Intell., 2025
Crude oil price forecasting with multivariate selection, machine learning, and a nonlinear combination strategy.
Eng. Appl. Artif. Intell., 2025
A framework for photovoltaic power forecasting based on hybrid data reconstruction, neural network models fusion, and multi-objective optimization.
Eng. Appl. Artif. Intell., 2025
Probabilistic forecasting of non-ferrous metal prices based on outlier treatment algorithms, quantile regression based deep learning and two-phase multi-objective optimization.
Eng. Appl. Artif. Intell., 2025
Eng. Appl. Artif. Intell., 2025
An interpretable dual-output multivariate wind speed interval prediction scheme using hyper-heuristic optimization algorithm and deep neural networks.
Appl. Soft Comput., 2025
A new perspective on non-ferrous metal price forecasting: An interpretable two-stage ensemble learning-based interval-valued forecasting system.
Adv. Eng. Informatics, 2025
Ultra-short-term wind power forecasting jointly driven by anomaly detection, clustering and graph convolutional recurrent neural networks.
Adv. Eng. Informatics, 2025
SAGraph: A Large-Scale Social Graph Dataset with Comprehensive Context for Influencer Selection in Marketing.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Cross-level Distillation Based Machine Unlearning with Contrastive Enhanced Knowledge.
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025
Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
2024
A novel fuzzification-forecasting-optimization ensemble system for wind speed based on fuzzy theory and a multiobjective optimizer.
Appl. Intell., December, 2024
Correction: Maximizing the lender's profit: profit-oriented loan default prediction based on a weighting model.
Ann. Oper. Res., October, 2024
A multi-variable hybrid system for port container throughput deterministic and uncertain forecasting.
Expert Syst. Appl., March, 2024
A structure for predicting wind speed using fuzzy granulation and optimization techniques.
Appl. Intell., March, 2024
Interval forecasting for wind speed using a combination model based on multiobjective artificial hummingbird algorithm.
Appl. Soft Comput., January, 2024
Nonlinear fuzzy forecasting system for wind speed interval forecasting based on self-adaption feature selecting and Bi-LSTM.
Signal Image Video Process., 2024
A novel optimization model based on fuzzy time series for short-term Air Quality Index forecasting.
Knowl. Based Syst., 2024
Developing a hybrid system for stock selection and portfolio optimization with many-objective optimization based on deep learning and improved NSGA-III.
Inf. Sci., 2024
A novel multivariate combined power load forecasting system based on feature selection and multi-objective intelligent optimization.
Expert Syst. Appl., 2024
Novel wind-speed prediction system based on dimensionality reduction and nonlinear weighting strategy for point-interval prediction.
Expert Syst. Appl., 2024
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.
Expert Syst. Appl., 2024
An integrated system to significant wave height prediction: Combining feature engineering, multi-criteria decision making, and hybrid kernel density estimation.
Expert Syst. Appl., 2024
A novel interval-valued carbon price analysis and forecasting system based on multi-objective ensemble strategy for carbon trading market.
Expert Syst. Appl., 2024
Enhancing investment performance of Black-Litterman model with AI hybrid system: Can it be done?
Expert Syst. Appl., 2024
A novel structure grey prediction model with strong compatibility and its application in forecasting the annual average concentration of particulate matter in Beijing.
Eng. Appl. Artif. Intell., 2024
A point-interval wind speed forecasting system based on fuzzy theory and neural networks architecture searching strategy.
Eng. Appl. Artif. Intell., 2024
A novel crude oil price forecasting model using decomposition and deep learning networks.
Eng. Appl. Artif. Intell., 2024
Combined electricity load-forecasting system based on weighted fuzzy time series and deep neural networks.
Eng. Appl. Artif. Intell., 2024
A Large-scale Time-aware Agents Simulation for Influencer Selection in Digital Advertising Campaigns.
CoRR, 2024
CoRR, 2024
Solar photovoltaic power forecasting system with online manner based on adaptive mode decomposition and multi-objective optimization.
Comput. Electr. Eng., 2024
A combined system based on data preprocessing and optimization algorithm for electricity load forecasting.
Comput. Ind. Eng., 2024
A wind speed point-interval fuzzy forecasting system based on data decomposition and multiobjective optimizer.
Appl. Soft Comput., 2024
A combined interval prediction system based on fuzzy strategy and neural network for wind speed.
Appl. Soft Comput., 2024
2023
A hybrid electricity load prediction system based on weighted fuzzy time series and multi-objective differential evolution.
Appl. Soft Comput., December, 2023
WPFSAD: Wind Power Forecasting System Integrating Dual-Stage Attention and Deep Learning.
IEEE Trans. Ind. Informatics, November, 2023
A solar radiation intelligent forecasting framework based on feature selection and multivariable fuzzy time series.
Eng. Appl. Artif. Intell., November, 2023
Research of a novel combined deterministic and probabilistic forecasting system for air pollutant concentration.
Expert Syst. Appl., October, 2023
Hybrid model for profit-driven churn prediction based on cost minimization and return maximization.
Expert Syst. Appl., October, 2023
Short-term power load forecasting system based on rough set, information granule and multi-objective optimization.
Appl. Soft Comput., October, 2023
Short-term load forecasting system based on sliding fuzzy granulation and equilibrium optimizer.
Appl. Intell., October, 2023
A newly combination model based on data denoising strategy and advanced optimization algorithm for short-term wind speed prediction.
J. Ambient Intell. Humaniz. Comput., July, 2023
Wind speed point prediction and interval prediction method based on linear prediction model, neural network, and deep learning.
J. Ambient Intell. Humaniz. Comput., July, 2023
A novel interval forecasting system based on multi-objective optimization and hybrid data reconstruct strategy.
Expert Syst. Appl., May, 2023
Combined forecasting tool for renewable energy management in sustainable supply chains.
Comput. Ind. Eng., May, 2023
Application of the three-parameter discrete direct grey model to forecast China's natural gas consumption.
Soft Comput., March, 2023
Forecasting system with sub-model selection strategy for photovoltaic power output forecasting.
Earth Sci. Informatics, March, 2023
Photovoltaic power combination prediction system based on improved multi-objective optimization algorithm and nonlinear weighting strategy.
Expert Syst. J. Knowl. Eng., March, 2023
Combined framework based on data preprocessing and multi-objective optimizer for electricity load forecasting.
Eng. Appl. Artif. Intell., March, 2023
Short-term PV power forecasting based on time series expansion and high-order fuzzy cognitive maps.
Appl. Soft Comput., March, 2023
What should lenders be more concerned about? Developing a profit-driven loan default prediction model.
Expert Syst. Appl., 2023
A deep-learning wind speed interval forecasting architecture based on modified scaling approach with feature ranking and two-output gated recurrent unit.
Expert Syst. Appl., 2023
Multivariate selection-combination short-term wind speed forecasting system based on convolution-recurrent network and multi-objective chameleon swarm algorithm.
Expert Syst. Appl., 2023
An improved temporal convolutional network with attention mechanism for photovoltaic generation forecasting.
Eng. Appl. Artif. Intell., 2023
2022
A Novel Air Pollutant Concentration Prediction System Based on Decomposition-Ensemble Mode and Multi-Objective Optimization for Environmental System Management.
Syst., 2022
Air quality deterministic and probabilistic forecasting system based on hesitant fuzzy sets and nonlinear robust outlier correction.
Knowl. Based Syst., 2022
Inf. Sci., 2022
A novel decomposition-ensemble forecasting system for dynamic dispatching of smart grid with sub-model selection and intelligent optimization.
Expert Syst. Appl., 2022
Design and research of hybrid forecasting system for wind speed point forecasting and fuzzy interval forecasting.
Expert Syst. Appl., 2022
Design of a combined system based on multi-objective optimization for point and interval forecasting of air pollution.
Expert Syst. Appl., 2022
An integrated forecasting system based on knee-based multi-objective optimization for solar radiation interval forecasting.
Expert Syst. Appl., 2022
Research on the construction of stock portfolios based on multiobjective water cycle algorithm and KMV algorithm.
Appl. Soft Comput., 2022
A combined forecasting system based on multi-objective optimization and feature extraction strategy for hourly PM<sub>2.5</sub> concentration.
Appl. Soft Comput., 2022
Carbon price forecasting system based on error correction and divide-conquer strategies.
Appl. Soft Comput., 2022
Advanced traffic congestion early warning system based on traffic flow forecasting and extenics evaluation.
Appl. Soft Comput., 2022
Ensemble wind speed prediction system based on envelope decomposition method and fuzzy inference evaluation of predictability.
Appl. Soft Comput., 2022
2021
A Learning System Integrating Temporal Convolution and Deep Learning for Predictive Modeling of Crude Oil Price.
IEEE Trans. Ind. Informatics, 2021
A wind speed interval forecasting system based on constrained lower upper bound estimation and parallel feature selection.
Knowl. Based Syst., 2021
PM<sub>2.5</sub> prediction and related health effects and economic cost assessments in 2020 and 2021: Case studies in Jing-Jin-Ji, China.
Knowl. Based Syst., 2021
IEEE Instrum. Meas. Mag., 2021
A hesitant fuzzy wind speed forecasting system with novel defuzzification method and multi-objective optimization algorithm.
Expert Syst. Appl., 2021
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm.
Expert Syst. Appl., 2021
A regional pretraining-classification-selection forecasting system for wind power point forecasting and interval forecasting.
Appl. Soft Comput., 2021
Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization.
Appl. Soft Comput., 2021
2020
Developing a deep learning framework with two-stage feature selection for multivariate financial time series forecasting.
Expert Syst. Appl., 2020
Analysis of the influence of international benchmark oil price on China's real exchange rate forecasting.
Eng. Appl. Artif. Intell., 2020
A novel system for multi-step electricity price forecasting for electricity market management.
Appl. Soft Comput., 2020
Ensemble probabilistic prediction approach for modeling uncertainty in crude oil price.
Appl. Soft Comput., 2020
A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM<sub>2.5</sub> and PM<sub>10</sub> forecasting.
Appl. Soft Comput., 2020
Research on a Novel Combination System on the Basis of Deep Learning and Swarm Intelligence Optimization Algorithm for Wind Speed Forecasting.
IEEE Access, 2020
A Combined Strategy for Wind Speed Forecasting Using Data Preprocessing and Weight Coefficients Optimization Calculation.
IEEE Access, 2020
Electric Load Forecasting Use a Novelty Hybrid Model on the Basic of Data Preprocessing Technique and Multi-Objective Optimization Algorithm.
IEEE Access, 2020
2019
Container throughput forecasting using a novel hybrid learning method with error correction strategy.
Knowl. Based Syst., 2019
A novel sub-models selection algorithm based on max-relevance and min-redundancy neighborhood mutual information.
Inf. Sci., 2019
Particle-swarm optimization of ensemble neural networks with negative correlation learning for forecasting short-term wind speed of wind farms in western China.
Inf. Sci., 2019
A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting.
CoRR, 2019
Wind Speed Forecasting Using a Two-Stage Forecasting System With an Error Correcting and Nonlinear Ensemble Strategy.
IEEE Access, 2019
Wind Speed Forecasting System Based on the Variational Mode Decomposition Strategy and Immune Selection Multi-Objective Dragonfly Optimization Algorithm.
IEEE Access, 2019
2018
A novel decomposition‐ensemble model for forecasting short‐term load‐time series with multiple seasonal patterns.
Appl. Soft Comput., 2018
Application of a novel early warning system based on fuzzy time series in urban air quality forecasting in China.
Appl. Soft Comput., 2018
An improved grey model optimized by multi-objective ant lion optimization algorithm for annual electricity consumption forecasting.
Appl. Soft Comput., 2018
Research and application of local perceptron neural network in highway rectifier for time series forecasting.
Appl. Soft Comput., 2018
2017
A combined model based on seasonal autoregressive integrated moving average and modified particle swarm optimization algorithm for electrical load forecasting.
J. Intell. Fuzzy Syst., 2017
Bayesian regularisation neural network based on artificial intelligence optimisation.
Int. J. Prod. Res., 2017
Developing an early-warning system for air quality prediction and assessment of cities in China.
Expert Syst. Appl., 2017
Research and Application of a Novel Hybrid Model Based on Data Selection and Artificial Intelligence Algorithm for Short Term Load Forecasting.
Entropy, 2017
Appl. Soft Comput., 2017
2016
A Rolling Grey Model Optimized by Particle Swarm Optimization in Economic Prediction.
Comput. Intell., 2016
A novel model: Dynamic choice artificial neural network (DCANN) for an electricity price forecasting system.
Appl. Soft Comput., 2016
Improved v -Support vector regression model based on variable selection and brain storm optimization for stock price forecasting.
Appl. Soft Comput., 2016
2015
Appl. Soft Comput., 2015
2014
Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting.
Knowl. Based Syst., 2014
Appl. Soft Comput., 2014
2013
2011
Knowl. Based Syst., 2011
Research and Application on Multi-Layer Matter-Element Extension Synthesis Evaluation Method for Software Quality.
J. Softw., 2011
Optimal parameters estimation and input subset for grey model based on chaotic particle swarm optimization algorithm.
Expert Syst. Appl., 2011
Chaotic time series method combined with particle swarm optimization and trend adjustment for electricity demand forecasting.
Expert Syst. Appl., 2011
2009
Prediction by Integration of Phase Space Reconstruction and a Novel Evolutionary System under Deregulated Power Market.
Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining, 2009
2008
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008
Decision Support in Cancer Base on Fuzzy Adaptive PSO for Feedforward Neural Network Training.
Proceedings of the 2008 International Symposium on Computer Science and Computational Technology, 2008
The Research of Software Product Line Engineering Process and Its Integrated Development Environment Model.
Proceedings of the 2008 International Symposium on Computer Science and Computational Technology, 2008
Chaotic Time Series Forecasting Base on Fuzzy Adaptive PSO for Feedforward Neural Network Training.
Proceedings of the 9th International Conference for Young Computer Scientists, 2008
Time Series Forecasting Based on Novel Support Vector Machine Using Artificial Fish Swarm Algorithm.
Proceedings of the Fourth International Conference on Natural Computation, 2008
Research on Real Estate Early Warning System Based on Decision Tree and Fuzzy Recognition Theory.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
2005
Appl. Math. Comput., 2005