Publikationen

Liu, H., Yan, G., Duan, Z., Chen, C.

Intelligent modeling strategies for forecasting air quality time series: A review.

(2021) Applied Soft Computing, 102, art. no. 106957, .

 

Li, Y., Liu, Z., Liu, H.

A novel ensemble reinforcement learning gated unit model for daily PM2.5 forecasting

(2021) Air Quality, Atmosphere and Health, 14 (3), pp. 443-453.

 

Liu, H., Yang, R., Wang, T., Zhang, L.

A hybrid neural network model for short-term wind speed forecasting based on decomposition, multi-learner ensemble, and adaptive multiple error corrections

(2021) Renewable Energy, 165, pp. 573-594.

 

Huang, J.-H., Liu, H.

A hybrid decomposition-boosting model for short-term multi-step solar radiation forecasting with NARX neural network [基于 NARX 神经网络的短期多步太阳辐射预测的混合分解强化模型]

(2021) Journal of Central South University, 28 (2), pp. 507-526.

 

Liu, H., Yang, R.

A spatial multi-resolution multi-objective data-driven ensemble model for multi-step air quality index forecasting based on real-time decomposition

(2021) Computers in Industry, 125, art. no. 103387, .

 

Liu, H., Yin, S., Chen, C., Duan, Z.

Data multi-scale decomposition strategies for air pollution forecasting: A comprehensive review

(2020) Journal of Cleaner Production, 277, art. no. 124023, .

 

Liu, H., Duan, Z., Chen, C.

Wind speed big data forecasting using time-variant multi-resolution ensemble model with clustering auto-encoder

(2020) Applied Energy, 280, art. no. 115975, .

 

Liu, H., Dong, S.

A novel hybrid ensemble model for hourly PM2.5 forecasting using multiple neural networks: a case study in China

(2020) Air Quality, Atmosphere and Health, 13 (12), pp. 1411-1420.

 

Liu, H., Li, Y., Duan, Z., Chen, C.

A review on multi-objective optimization framework in wind energy forecasting techniques and applications

(2020) Energy Conversion and Management, 224, art. no. 113324, .

 

Liu, H., Chen, C.

Spatial air quality index prediction model based on decomposition, adaptive boosting, and three-stage feature selection: A case study in China

(2020) Journal of Cleaner Production, 265, art. no. 121777, .

 

Liu, H., Wu, H., Li, Y.

Multi-step wind speed forecasting model based on wavelet matching analysis and hybrid optimization framework

(2020) Sustainable Energy Technologies and Assessments, 40, art. no. 100745, .

 

Liu, H., Yang, R., Duan, Z.

Wind speed forecasting using a new multi-factor fusion and multi-resolution ensemble model with real-time decomposition and adaptive error correction

(2020) Energy Conversion and Management, 217, art. no. 112995, .

 

Li, Y., Shi, H., Liu, H.

A hybrid model for river water level forecasting: Cases of Xiangjiang River and Yuanjiang River, China

(2020) Journal of Hydrology, 587, art. no. 124934, .

 

Liu, H., Long, Z., Duan, Z., Shi, H.

A New Model Using Multiple Feature Clustering and Neural Networks for Forecasting Hourly PM2.5 Concentrations, and Its Applications in China

(2020) Engineering, 6 (8), pp. 944-956.

 

Liu, H., Long, Z.

An improved deep learning model for predicting stock market price time series

(2020) Digital Signal Processing: A Review Journal, 102, art. no. 102741, .

 

Wu, H., Liu, H., Duan, Z.

PM2.5 concentrations forecasting using a new multi-objective feature selection and ensemble framework

(2020) Atmospheric Pollution Research, 11 (7), pp. 1187-1198.

 

Liu, H., Yu, C., Wu, H., Duan, Z., Yan, G.

A new hybrid ensemble deep reinforcement learning model for wind speed short term forecasting

(2020) Energy, 202, art. no. 117794, .

 

Xu, Y., Liu, H.

Spatial ensemble prediction of hourly PM2.5 concentrations around Beijing railway station in China

(2020) Air Quality, Atmosphere and Health, 13 (5), pp. 563-573.

 

Liu, H., Duan, Z., Chen, C.

A hybrid multi-resolution multi-objective ensemble model and its application for forecasting of daily PM2.5 concentrations

(2020) Information Sciences, 516, pp. 266-292.

 

Liu, H., Yu, C., Yu, C., Chen, C., Wu, H.

A novel axle temperature forecasting method based on decomposition, reinforcement learning optimization and neural network

(2020) Advanced Engineering Informatics, 44, art. no. 101089, .

 

Liu, H., Chen, C.

Prediction of outdoor PM2.5 concentrations based on a three-stage hybrid neural network model

(2020) Atmospheric Pollution Research, 11 (3), pp. 469-481.

 

Liu, H., Duan, Z.

A vanishing moment ensemble model for wind speed multi-step prediction with multi-objective base model selection

(2020) Applied Energy, 261, art. no. 114367, .

 

Chen, C., Liu, H.

Medium-term wind power forecasting based on multi-resolution multi-learner ensemble and adaptive model selection

(2020) Energy Conversion and Management, 206, art. no. 112492, .

 

Xu, Y., Liu, H., Duan, Z.

A novel hybrid model for multi-step daily AQI forecasting driven by air pollution big data

(2020) Air Quality, Atmosphere and Health, 13 (2), pp. 197-207.

 

Xu, Y., Liu, H., Long, Z.

A distributed computing framework for wind speed big data forecasting on Apache Spark

(2020) Sustainable Energy Technologies and Assessments, 37, art. no. 100582, .

 

Liu, H., Yu, C., Wu, H., Chen, C., Wang, Z.

An improved non-intrusive load disaggregation algorithm and its application

(2020) Sustainable Cities and Society, 53, art. no. 101918, .

 

Wu, X., Sun, C., Zou, T., Li, L., Wang, L., Liu, H.

SVM-based image partitioning for vision recognition of AGV guide paths under complex illumination conditions

(2020) Robotics and Computer-Integrated Manufacturing, 61, art. no. 101856, .

 

Liu, H.

Smart cities: Big data prediction methods and applications

(2020) Smart Cities: Big Data Prediction Methods and Applications, pp. 1-314.

 

Liu, H., Duan, Z.

Corrected multi-resolution ensemble model for wind power forecasting with real-time decomposition and Bivariate Kernel density estimation

(2020) Energy Conversion and Management, 203, art. no. 112265, .

 

Liu, H., Duan, Z., Wu, H., Li, Y., Dong, S.

Wind speed forecasting models based on data decomposition, feature selection and group method of data handling network

(2019) Measurement: Journal of the International Measurement Confederation, 148, art. no. 106971, .

 

Liu, H., Mi, X., Li, Y., Duan, Z., Xu, Y.

Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression

(2019) Renewable Energy, 143, pp. 842-854.

 

Liu, H., Chen, C.

Multi-objective data-ensemble wind speed forecasting model with stacked sparse autoencoder and adaptive decomposition-based error correction

(2019) Applied Energy, 254, art. no. 113686, .

 

Liu, H., Duan, Z., Chen, C., Wu, H.

A novel two-stage deep learning wind speed forecasting method with adaptive multiple error corrections and bivariate Dirichlet process mixture model

(2019) Energy Conversion and Management, 199, art. no. 111975, .

 

Ren, Z., Tang, B., Wang, L., Liu, H., Dong, S., Wu, H.

Household Appliance Identification Based on a Novel Load Signature Processing Framework

(2019) 2019 3rd IEEE Conference on Energy Internet and Energy System Integration:

Ubiquitous Energy Network Connecting Everything, EI2 2019, art. no. 9062041, pp. 2076-2080.

 

Duan, Z., Liu, H.

An evolution-dependent multi-objective ensemble model of vanishing moment with adversarial auto-encoder for short-term wind speed forecasting in Xinjiang wind farm, China

(2019) Energy Conversion and Management, 198, art. no. 111914, .

 

Liu, H., Chen, C.

Data processing strategies in wind energy forecasting models and applications: A comprehensive review

(2019) Applied Energy, 249, pp. 392-408.

 

Liu, H., Jin, K., Duan, Z.

Air PM2.5 concentration multi-step forecasting using a new hybrid modeling method: Comparing cases for four cities in China

(2019) Atmospheric Pollution Research, 10 (5), pp. 1588-1600.

 

Liu, H., Xu, Y., Chen, C.

Improved pollution forecasting hybrid algorithms based on the ensemble method

(2019) Applied Mathematical Modelling, 73, pp. 473-486.

 

Liu, H., Chen, C., Lv, X., Wu, X., Liu, M.

Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods

(2019) Energy Conversion and Management, 195, pp. 328-345.

 

Ren, Z., Tang, B., Wang, L., Liu, H., Li, Y., Wu, H.

Non-intrusive load identification method based on integrated intelligence strategy

(2019) ICAC 2019 - 2019 25th IEEE International Conference on Automation and Computing, art. no. 8895194, .

 

Lv, X., Ren, Z., Tang, B., Liu, H., Yang, R., Wu, H.

Hybrid load identification model based on grey Wolf optimization algorithm

(2019) ICAC 2019 - 2019 25th IEEE International Conference on Automation and Computing, art. no. 8895066, .

 

Liu, H., Wu, H., Yu, C.

A hybrid model for appliance classification based on time series features

(2019) Energy and Buildings, 196, pp. 112-123.

 

Liu, H., Duan, Z., Chen, C.

A hybrid framework for forecasting PM2.5 concentrations using multi-step deterministic and probabilistic strategy

(2019) Air Quality, Atmosphere and Health, 12 (7), pp. 785-795.

 

Duan, Z., Liu, H., Lv, X., Ren, Z., Junginger, S.

Hybrid position forecasting method for mobile robot transportation in smart indoor environment

(2019) ACM International Conference Proceeding Series, pp. 333-338.

 

Chen, H., Yang, J., Xu, G., Gao, G., Yuan, Q., Li, Z., Wang, Z., Li, Y., Liu, H.

Application of ELM in key impact factors identification of rail transit system cost

(2019) ACM International Conference Proceeding Series, pp. 145-150.

 

Yin, H., Lai, S., Xu, G., Yuan, Q., Gao, G., Duan, Z., Chen, C., Li, Y., Liu, H.

Sensitivity analysis of cost elements in rail transit system using EO-FNN

(2019) ACM International Conference Proceeding Series, pp. 287-292.

 

Li, Y., Shi, H., Han, F., Duan, Z., Liu, H.

Smart wind speed forecasting approach using various boosting algorithms, big multi-step forecasting strategy

(2019) Renewable Energy, 135, pp. 540-553.

 

Liu, H., Wu, H., Lv, X., Ren, Z., Liu, M., Li, Y., Shi, H.

An intelligent hybrid model for air pollutant concentrations forecasting: Case of Beijing in China

(2019) Sustainable Cities and Society, 47, art. no. 101471, .

 

Liu, H., Xu, Y., Wu, X., Lv, X., Zhang, D., Zhong, G.

Big data forecasting model of indoor positions for mobile robot navigation based on apache spark platform

(2019) 2019 IEEE 4th International Conference on Cloud Computing and Big Data Analytics, ICCCBDA 2019, art. no. 8725706, pp. 378-382.

 

Mi, X., Liu, H., Li, Y.

Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine

(2019) Energy Conversion and Management, 180, pp. 196-205.

 

Liu, H.

Non-intrusive load monitoring: Theory, technologies and applications

(2019) Non-intrusive Load Monitoring: Theory, Technologies and Applications, pp. 1-277.

 

Liu, H., Duan, Z., Li, Y., Lu, H.

A novel ensemble model of different mother wavelets for wind speed multi-step forecasting

(2018) Applied Energy, 228, pp. 1783-1800.

 

Liu, H., Mi, X., Li, Y.

An experimental investigation of three new hybrid wind speed forecasting models using multi-decomposing strategy and ELM algorithm

(2018) Renewable Energy, 123, pp. 694-705.

 

Li, Y., Wu, H., Liu, H.

Multi-step wind speed forecasting using EWT decomposition, LSTM principal computing, RELM subordinate computing and IEWT reconstruction

(2018) Energy Conversion and Management, 167, pp. 203-219.

 

Zhang, L., Thurow, K., Stoll, N., Liu, H.

Influence of the geometry of equal-transect oblique tunnel portal on compression wave and micro-pressure wave generated by high-speed trains entering tunnels

(2018) Journal of Wind Engineering and Industrial Aerodynamics, 178, pp. 1-17.

 

Liu, H., Mi, X., Li, Y.

Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network

(2018) Energy Conversion and Management, 166, pp. 120-131.

 

Liu, H., Wu, H., Li, Y.

Smart wind speed forecasting using EWT decomposition, GWO evolutionary optimization, RELM learning and IEWT reconstruction

(2018) Energy Conversion and Management, 161, pp. 266-283.

 

Liu, H., Mi, X., Li, Y.

Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM

(2018) Energy Conversion and Management, 159, pp. 54-64.

 

Liu, H., Mi, X.-W., Li, Y.-F.

Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network

(2018) Energy Conversion and Management, 156, pp. 498-514.

 

Liu, H., Duan, Z., Han, F.-Z., Li, Y.-F.

Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm

(2018) Energy Conversion and Management, 156, pp. 525-541.

 

Liu, H., Mi, X., Li, Y.

Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks

(2018) Energy Conversion and Management, 155, pp. 188-200.

 

Mi, X.-W., Liu, H., Li, Y.-F.

Wind speed forecasting method using wavelet, extreme learning machine and outlier correction algorithm

(2017) Energy Conversion and Management, 151, pp. 709-722.

 

Zhang, L., Liu, H., Stoll, N., Thurow, K.

Influence of tunnel aerodynamic effects by slope of equal-transect ring oblique tunnel portal

(2017) Journal of Wind Engineering and Industrial Aerodynamics, 169, pp. 106-116.

 

Ali, M.M., Liu, H., Stoll, N., Thurow, K.

An identification and localization approach of different labware for mobile robot transportation in life science laboratories

(2017) CINTI 2016 - 17th IEEE International Symposium on Computational Intelligence and Informatics: Proceedings, art. no. 7846432, pp. 353-358.

 

Ali, M.M., Liu, H., Stoll, N., Thurow, K.

Multiple lab ware manipulation in life science laboratories using mobile robots

(2017) Proceedings of the 2016 17th International Conference on Mechatronics - Mechatronika, ME 2016, art. no. 7827854, .

 

Ghandour, M., Liu, H., Stoll, N., Thurow, K.

56769323100;56693225600;6603350863;6603633260;

A hybrid collision avoidance system for indoor mobile robots based on human-robot interaction

(2017) Proceedings of the 2016 17th International Conference on Mechatronics - Mechatronika, ME 2016, art. no. 7827795, .

 

Abdulla, A.A., Liu, H., Stoll, N., Thurow, K.

An automated elevator management and multi-floor estimation for indoor mobile robot transportation based on a pressure sensor

(2017) Proceedings of the 2016 17th International Conference on Mechatronics - Mechatronika, ME 2016, art. no. 7827787, .

 

Ghandour, M., Liu, H., Stoll, N., Thurow, K.

Human robot interaction for hybrid collision avoidance system for indoor mobile robots

(2017) Advances in Science, Technology and Engineering Systems, 2 (3), pp. 650-657.

 

Abdulla, A.A., Liu, H., Stoll, N., Thurow, K.

A secure automated elevator management system and pressure sensor based floor estimation for indoor mobile robot transportation

(2017) Advances in Science, Technology and Engineering Systems, 2 (3), pp. 1599-1608.

 

Ali, M.M., Liu, H., Stoll, N., Thurow, K.

Grasping and placing operation for labware transportation in life science laboratories using mobile robots

(2017) Advances in Science, Technology and Engineering Systems, 2 (3), pp. 1227-1237.

 

Ali, M.M., Liu, H., Stoll, N., Thurow, K.

Recognition and position estimation for multiple labware transportation using Kinect V2 and mobile robots

(2017) Advances in Science, Technology and Engineering Systems, 2 (3), pp. 1218-1226.

 

Ali, M.M., Liu, H., Stoll, N., Thurow, K.

Intelligent arm manipulation system in life science labs using H20 mobile robot and Kinect sensor

(2016) 2016 IEEE 8th International Conference on Intelligent Systems, IS 2016 - Proceedings, art. no. 7737449, pp. 382-387.

 

Vorberg, E., Fleischer, H., Junginger, S., Liu, H., Stoll, N., Thurow, K.

A Highly Flexible, Automated System Providing Reliable Sample Preparation in Element- and Structure-Specific Measurements

(2016) Journal of Laboratory Automation, 21 (5), pp. 682-692.

 

Abdulla, A.A., Liu, H., Stoll, N., Thurow, K.

A robust method for elevator operation in semi-outdoor environment for mobile robot transportation system in life science laboratories

(2016) INES 2016 - 20th Jubilee IEEE International Conference on Intelligent Engineering Systems, Proceedings, art. no. 7555147, pp. 45-50.

 

Liu, H., Tian, H., Li, Y., Zhang, L.

Study on performance comparison of wind speed hybrid high-precision one-step predicting models along railways

(2016) Tiedao Xuebao/Journal of the China Railway Society, 38 (8), pp. 41-49.

 

Ghandour, M., Liu, H., Stoll, N., Thurow, K.

Interactive collision avoidance system for indoor mobile robots based on human-robot interaction

(2016) Proceedings - 2016 9th International Conference on Human System Interactions, HSI 2016, art. no. 7529633, pp. 209-215.

 

Liu, H., Stoll, N., Junginger, S., Zhang, J., Ghandour, M., Thurow, K.

Human-Mobile Robot Interaction in laboratories using Kinect Sensor and ELM based face feature recognition

(2016) Proceedings - 2016 9th International Conference on Human System Interactions, HSI 2016, art. no. 7529631, pp. 197-202.

 

Abdulla, A.A., Liu, H., Stoll, N., Thurow, K.

A backbone-floyd hybrid path planning method for mobile robot transportation in multi-floor life science laboratories

(2016) IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 0, art. no. 7849522, pp. 406-411.

 

Liu, H., Zhang, L., Tian, H., Liang, X., Li, Y.

Short-term wind speed intelligent prediction method based on empirical mode decomposition and adaptive neural fuzzy inference system

(2016) Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 47 (2), pp. 676-682.

 

Ali, M.M., Liu, H., Stoll, N., Thurow, K.

Kinematic analysis of 6-DOF arms for H20 mobile robots and labware manipulation for transportation in life science labs

(2016) Journal of Automation, Mobile Robotics and Intelligent Systems, 10 (4), pp. 40-52.

 

Abdulla, A.A., Liu, H., Stoll, N., Thurow, K.

A New Robust Method for Mobile Robot Multifloor Navigation in Distributed Life Science Laboratories

(2016) Journal of Control Science and Engineering, 2016, art. no. 3589395, .

 

Liu, H., Tian, H.-Q., Liang, X.-F., Li, Y.-F.

Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks

(2015) Applied Energy, 157, pp. 183-194.

 

Liu, H., Tian, H., Liang, X., Li, Y.

 

New wind speed forecasting approaches using fast ensemble empirical model decomposition, genetic algorithm, Mind Evolutionary Algorithm and Artificial Neural Networks

(2015) Renewable Energy, 83, pp. 1066-1075.

 

Liu, H., Tian, H.-Q., Li, Y.-F.

An EMD-recursive ARIMA method to predict wind speed for railway strong wind warning system

(2015) Journal of Wind Engineering and Industrial Aerodynamics, 141, pp. 27-38.

 

Liu, H., Tian, H.-Q., Li, Y.-F.

Four wind speed multi-step forecasting models using extreme learning machines and signal decomposing algorithms

(2015) Energy Conversion and Management, 100, pp. 16-22.

 

Thurow, K., Liu, H.

Mobile robotics for life science laboratories

(2015) Mobile Robotics: Principles, Techniques and Applications, pp. 1-23.

 

Liu, H., Tian, H.-Q., Li, Y.-F., Zhang, L.

Comparison of four Adaboost algorithm based artificial neural networks in wind speed predictions

(2015) Energy Conversion and Management, 92, pp. 67-81.

 

Liu, H., Tian, H.-Q., Li, Y.-F.

Comparison of new hybrid FEEMD-MLP, FEEMD-ANFIS, Wavelet Packet-MLP and Wavelet Packet-ANFIS for wind speed predictions

(2015) Energy Conversion and Management, 89, pp. 1-11.

 

Liu, H., Stoll, N., Junginger, S., Thurow, K.

Human face orientation recognition for intelligent mobile robot collision avoidance in laboratory environments using feature detection and LVQ neural networks

(2015) 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015, art. no. 7419067, pp. 2003-2007.

 

Liu, H., Stoll, N., Junginger, S., Thurow, K.

New localization strategy for mobile robot transportation in life science automation using StarGazer sensor, time series modeling and Kalman filter processing

(2015) 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015, art. no. 7418761, pp. 164-168.

 

Ali, M.M., Liu, H., Stoll, R., Thurow, K.

Arm grasping for mobile robot transportation using Kinect sensor and kinematic analysis

(2015) Conference Record - IEEE Instrumentation and Measurement Technology Conference, 2015-July, art. no. 7151321, pp. 516-521.

 

Abdulla, A.A., Liu, H., Stoll, N., Thurow, K.

Multi-floor navigation method for mobile robot transportation based on StarGazer sensors in life science automation

(2015) Conference Record - IEEE Instrumentation and Measurement Technology Conference, 2015-July, art. no. 7151306, pp. 428-433.

 

Ghandour, M., Liu, H., Stoll, N., Thurow, K.

Improving the navigation of indoor mobile robots using Kalman filter

(2015) Conference Record - IEEE Instrumentation and Measurement Technology Conference, 2015-July, art. no. 7151487, pp. 1434-1439.

 

Liu, H., Stoll, N., Junginger, S., Thurow, K.

Mobile robotic transportation in laboratory automation: Multi-robot control, robot-door integration and robot-human interaction

(2014) 2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014, art. no. 7090468, pp. 1033-1038.

 

Liu, H., Stoll, N., Junginger, S., Thurow, K.

A new approach to battery power tracking and predicting for mobile robot transportation using wavelet decomposition and ANFIS networks

(2014) 2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014, art. no. 7090339, pp. 253-258.

 

Liu, H., Stoll, N., Junginger, S., Thurow, K.

A fast approach to arm blind grasping and placing for mobile robot transportation in laboratories

(2014) International Journal of Advanced Robotic Systems, 11 (1), art. no. 43, .

 

Liu, H., Stoll, N., Junginger, S., Thurow, K.

An application of charging management for mobile robot transportation in laboratory environments

(2013) Conference Record - IEEE Instrumentation and Measurement Technology Conference, art. no. 6555455, pp. 435-439.

 

Liu, H., Stoll, N., Junginger, S., Thurow, K.

A fast method for mobile robot transportation in life science automation

(2013) Conference Record - IEEE Instrumentation and Measurement Technology Conference, art. no. 6555416, pp. 238-242.

 

Liu, H., Stoll, N., Junginger, S., Thurow, K.

Mobile robot for life science automation

(2013) International Journal of Advanced Robotic Systems, 10, pp. 1-14.

 

Liu, H., Tian, H.-Q., Chen, C., Li, Y.-F.

An experimental investigation of two Wavelet-MLP hybrid frameworks for wind speed prediction using GA and PSO optimization

(2013) International Journal of Electrical Power and Energy Systems, 52 (1), pp. 161-173.

 

Liu, H., Stoll, N., Junginger, S., Thurow, K.

A new method for mobile robot arm blind grasping using ultrasonic sensors and Artificial Neural Networks

(2013) 2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013, art. no. 6739654, pp. 1360-1364.

 

Liu, H., Tian, H.-Q., Pan, D.-F., Li, Y.-F.

Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks

(2013) Applied Energy, 107, pp. 191-208.

 

Liu, H., Stoll, N., Junginger, S., Thurow, K.

A floyd-genetic algorithm based path planning system for mobile robots in laboratory automation

(2012) 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest, art. no. 6491188, pp. 1550-1555.

 

Liu, H., Stoll, N., Junginger, S., Thurow, K.

A Floyd-Dijkstra hybrid application for mobile robot path planning in life science automation

(2012) IEEE International Conference on Automation Science and Engineering, art. no. 6386325, pp. 279-284.

 

Liu, H., Chen, C., Tian, H.-Q., Li, Y.-F.

A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks

(2012) Renewable Energy, 48, pp. 545-556.

 

Liu, H., Stoll, N., Junginger, S., Thurow, K.

A common wireless remote control system for mobile robots in laboratory

(2012) 2012 IEEE I2MTC - International Instrumentation and Measurement Technology Conference, Proceedings, art. no. 6229212, pp. 688-693.

 

Liu, H., Tian, H.-Q., Li, Y.-F.

Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction

(2012) Applied Energy, 98, pp. 415-424.

 

Li, Y.-F., Tian, H.-Q., Liu, H.

Optimization of windbreak wall with holes in high-speed railway

(2011) Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 42 (10), pp. 3207-3212.

 

Liu, H., Tian, H.-Q., Chen, C., Li, Y.-F.

Short-term forecasting optimization algorithm for unsteady wind speed signal based on wavelet analysis method and neutral networks method

(2011) Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 42 (9), pp. 2704-2711.

 

Tian, H.-Q., Gao, G.-J., Yao, S., Xu, P., Liu, H.

Structure realization method for collapse threshold of plastic deformation in train collision condition

(2011) Journal of Central South University of Technology (English Edition), 18 (1), pp. 244-249.

 

Liu, H., Tian, H.-Q., Chen, C., Li, Y.-f.

A hybrid statistical method to predict wind speed and wind power

(2010) Renewable Energy, 35 (8), pp. 1857-1861.

 

Liu, H., Tian, H.-Q., Li, Y.-F.

Short-term forecasting optimization algorithm for wind speed from wind farms based on wavelet analysis method and rolling time series method

(2010) Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 41 (1), pp. 370-375.

 

Liu, H., Tian, H.-Q., Li, Y.-F.

Short-term forecasting optimization algorithms for wind speed along Qinghai-Tibet railway based on different intelligent modeling theories

(2009) Journal of Central South University of Technology (English Edition), 16 (4), pp. 690-696.

 

Liu, H., Pan, D., Li, Y.

Qinghai-Tibet railway gale forecasting optimization model and algorithm based on train running safety

(2008) Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering), 32 (6), pp. 986-989.

 

Pan, D.-F., Liu, H., Li, Y.-F.

Optimization algorithm of short-term multi-step wind speed forecast

(2008) Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 28 (26), pp. 87-91.

 

Pan, D., Liu, H., Li, Y., Liang, H.

Short-term forecast method for wind speed along Golmud-Lhasa section of Qinghai-Tibet railway

(2008) Zhongguo Tiedao Kexue/China Railway Science, 29 (5), pp. 129-133.