Senlin Zhu

发表

Energy price prediction using data-driven models: A decade review

Minda Ma, Hongfang Lu, Xin Ma, 2021, Comput. Sci. Rev..

Modelling daily water temperature from air temperature for the Missouri River

Marijana Hadzima-Nyarko, Emmanuel Karlo Nyarko, Senlin Zhu, 2018, PeerJ.

Modelling of Maximum Daily Water Temperature for Streams: Optimally Pruned Extreme Learning Machine (OPELM) versus Radial Basis Function Neural Networks (RBFNN)

Salim Heddam, Senlin Zhu, Senlin Zhu, 2019, Environmental Processes.

Two hybrid data-driven models for modeling water-air temperature relationship in rivers

Marijana Hadzima-Nyarko, Shiqiang Wu, Senlin Zhu, 2019, Environmental Science and Pollution Research.

Comparing artificial intelligence techniques for chlorophyll-a prediction in US lakes

Shiqiang Wu, Jiangyu Dai, Senlin Zhu, 2019, Environmental Science and Pollution Research.

Modelling of daily lake surface water temperature from air temperature: Extremely randomized trees (ERT) versus Air2Water, MARS, M5Tree, RF and MLPNN

Mariusz Ptak, Salim Heddam, Senlin Zhu, 2020 .

Extreme learning machine-based prediction of daily water temperature for rivers

Salim Heddam, Shiqiang Wu, Jiangyu Dai, 2019, Environmental Earth Sciences.

Modeling daily water temperature for rivers: comparison between adaptive neuro-fuzzy inference systems and artificial neural networks models

Salim Heddam, Marijana Hadzima-Nyarko, Emmanuel Karlo Nyarko, 2018, Environmental Science and Pollution Research.

Assessing the performance of a suite of machine learning models for daily river water temperature prediction

Salim Heddam, Marijana Hadzima-Nyarko, Emmanuel Karlo Nyarko, 2019, PeerJ.

Forecasting river water temperature time series using a wavelet–neural network hybrid modelling approach

Bellie Sivakumar, Renata Graf, Senlin Zhu, 2019, Journal of Hydrology.

Forecasting surface water temperature in lakes: A comparison of approaches

Zaher Mundher Yaseen, Mariusz Ptak, Bellie Sivakumar, 2020, Journal of Hydrology.

Prediction of dissolved oxygen in urban rivers at the Three Gorges Reservoir, China: extreme learning machines (ELM) versus artificial neural network (ANN)

Salim Heddam, Senlin Zhu, Senlin Zhu, 2020, Water Quality Research Journal.

Mercury transport and fate models in aquatic systems: A review and synthesis.

Dušan Žagar, Zhonglong Zhang, Senlin Zhu, 2018, The Science of the total environment.

Forecasting of water level in multiple temperate lakes using machine learning models

Mariusz Ptak, Bellie Sivakumar, Bahrudin Hrnjica, 2020 .