标题
A random forest model for inflow prediction at wastewater treatment plants
作者
关键词
Random forest, WWTP, Wastewater prediction, Daily flow, Uncertainty analysis
出版物
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-09-21
DOI
10.1007/s00477-019-01732-9
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Comparison of stochastic and machine learning methods for multi-step ahead forecasting of hydrological processes
- (2019) Georgia Papacharalampous et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Influent Forecasting for Wastewater Treatment Plants in North America
- (2019) Gavin Boyd et al. Sustainability
- How to explain and predict the shape parameter of the generalized extreme value distribution of streamflow extremes using a big dataset
- (2019) Hristos Tyralis et al. JOURNAL OF HYDROLOGY
- A Brief Review of Random Forests for Water Scientists and Practitioners and Their Recent History in Water Resources
- (2019) Hristos Tyralis et al. Water
- Random forest regression prediction of solid particle Erosion in elbows
- (2018) Peyman Zahedi et al. POWDER TECHNOLOGY
- Manage Sewer In-Line Storage Control Using Hydraulic Model and Recurrent Neural Network
- (2018) Duo Zhang et al. WATER RESOURCES MANAGEMENT
- Fault Detection Using Random Projections and k-Nearest Neighbor Rule for Semiconductor Manufacturing Processes
- (2015) Zhe Zhou et al. IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING
- Development of a Stepwise-Clustered Hydrological Inference Model
- (2015) Zhong Li et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Flood hazard risk assessment model based on random forest
- (2015) Zhaoli Wang et al. JOURNAL OF HYDROLOGY
- Evaluation of the k-nearest neighbor method for forecasting the influent characteristics of wastewater treatment plant
- (2015) Minsoo Kim et al. Frontiers of Environmental Science & Engineering
- Short-term prediction of influent flow in wastewater treatment plant
- (2014) Xiupeng Wei et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS
- (2013) Mahyat Shafapour Tehrany et al. JOURNAL OF HYDROLOGY
- Potential and limitations of modern equipment for real time control of urban wastewater systems
- (2013) A. Campisano et al. Urban Water Journal
- Characterising performance of environmental models
- (2012) Neil D. Bennett et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data
- (2012) Elfatih M. Abdel-Rahman et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Prediction of Influent Flow Rate: Data-Mining Approach
- (2012) Xiupeng Wei et al. JOURNAL OF ENERGY ENGINEERING
- Improving the performance of data-driven techniques through data pre-processing for modelling daily reservoir inflow
- (2011) V. Jothiprakash et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- A new wavelet–bootstrap–ANN hybrid model for daily discharge forecasting
- (2011) Mukesh K. Tiwari et al. JOURNAL OF HYDROINFORMATICS
- Variable Importance Assessment in Regression: Linear Regression versus Random Forest
- (2009) Ulrike Grömping AMERICAN STATISTICIAN
- Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
- (2009) Hoshin V. Gupta et al. JOURNAL OF HYDROLOGY
- Daily Updating of Operational Statistical Seasonal Water Supply Forecasts for the western U.S.
- (2009) Thomas C Pagano et al. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
- Development and application of a simple hydrologic model simulation for a Brazilian headwater basin
- (2008) C.R. Mello et al. CATENA
- Fitting of Hydrologic Models: A Close Look at the Nash–Sutcliffe Index
- (2008) Sharad K. Jain et al. JOURNAL OF HYDROLOGIC ENGINEERING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More