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。A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence
Kaishu Xia et al.
JOURNAL OF MANUFACTURING SYSTEMS (2021)
Modelling demand response with process models and energy systems models: Potential applications for wastewater treatment within the energy-water nexus
Dana Kirchem et al.
APPLIED ENERGY (2020)
A review On reinforcement learning: Introduction and applications in industrial process control
Rui Nian et al.
COMPUTERS & CHEMICAL ENGINEERING (2020)
Scalable reinforcement learning for plant-wide control of vinyl acetate monomer process
Lingwei Zhu et al.
CONTROL ENGINEERING PRACTICE (2020)
A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management
Xu Xu et al.
IEEE TRANSACTIONS ON SMART GRID (2020)
A Novel Check-List Strategy to Evaluate the Potential of Operational Improvements in Wastewater Treatment Plants
Vojtech Zejda et al.
ENERGIES (2020)
Algorithm for Autonomous Power-Increase Operation Using Deep Reinforcement Learning and a Rule-Based System
Daeil Lee et al.
IEEE ACCESS (2020)
Control Strategy for Denitrification Efficiency of Coal-Fired Power Plant Based on Deep Reinforcement Learning
Jigao Fu et al.
IEEE ACCESS (2020)
Forecasting of Wastewater Treatment Plant Key Features Using Deep Learning-Based Models: A Case Study
Tuoyuan Cheng et al.
IEEE ACCESS (2020)
Optimization models to save energy and enlarge the operational life of water pumping systems
Dario Torregrossa et al.
JOURNAL OF CLEANER PRODUCTION (2019)
Data-driven predictive energy optimization in a wastewater pumping station
Jorge Filipe et al.
APPLIED ENERGY (2019)
Demand Response for Home Energy Management Using Reinforcement Learning and Artificial Neural Network
Renzhi Lu et al.
IEEE TRANSACTIONS ON SMART GRID (2019)
Smart Day-ahead Pump Scheduling Scheme for Electricity Cost Optimization in a Sewage Treatment Plant
Yonghwi Kim et al.
2019 10TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC): ICT CONVERGENCE LEADING THE AUTONOMOUS FUTURE (2019)
Demand Response Management for Industrial Facilities: A Deep Reinforcement Learning Approach
Xuefei Huang et al.
IEEE ACCESS (2019)
Real-time scheduling for a smart factory using a reinforcement learning approach
Yeou-Ren Shiue et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2018)
Tackling the start-up of a reinforcement learning agent for the control of wastewater treatment plants
Felix Hernandez-del-Olma et al.
KNOWLEDGE-BASED SYSTEMS (2018)
Energy-Optimal Pump Scheduling and Water Flow
Dariush Fooladivanda et al.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS (2018)
Sustainable value - An energy efficiency indicator in wastewater treatment plants
Joao Henriques et al.
JOURNAL OF CLEANER PRODUCTION (2017)
A data-driven methodology to support pump performance analysis and energy efficiency optimization in Waste Water Treatment Plants
Dario Torregrossa et al.
APPLIED ENERGY (2017)
Modeling and optimization of a wastewater pumping system with data-mining methods
Zijun Zhang et al.
APPLIED ENERGY (2016)
A comprehensive review on energy efficiency enhancement initiatives in centrifugal pumping system
Arun Shankar Vishnu Kalaiselvan et al.
APPLIED ENERGY (2016)
Efficiency assessment of wastewater treatment plants: A data envelopment analysis approach integrating technical, economic, and environmental issues
Lledo Castellet et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2016)
A Lagrangian decomposition approach for the pump scheduling problem in water networks
Bissan Ghaddar et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2015)
Multi-stage linear programming optimization for pump scheduling
V. Puleo et al.
12TH INTERNATIONAL CONFERENCE ON COMPUTING AND CONTROL FOR THE WATER INDUSTRY, CCWI2013 (2014)
Modeling and analysis of pumps in a wastewater treatment plant: A data-mining approach
Andrew Kusiak et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2013)
Minimizing pump energy in a wastewater processing plant
Zijun Zhang et al.
ENERGY (2012)
Autonomous Adaptive and Active Tuning Up of the Dissolved Oxygen Setpoint in a Wastewater Treatment Plant Using Reinforcement Learning
Felix Hernandez-del-Olmo et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS (2012)
An Optimized EV Charging Model Considering TOU Price and SOC Curve
Yijia Cao et al.
IEEE TRANSACTIONS ON SMART GRID (2012)
A model predictive control strategy for load shifting in a water pumping scheme with maximum demand charges
Adam Jacobus van Staden et al.
APPLIED ENERGY (2011)
Multi-objective pump scheduling optimisation using evolutionary strategies
B Baran et al.
ADVANCES IN ENGINEERING SOFTWARE (2005)
A neural network predictive control system for paper mill wastewater treatment
GM Zeng et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2003)
Process system engineering in wastewater treatment process
CK Yoo et al.
KOREAN JOURNAL OF CHEMICAL ENGINEERING (2001)
分享论文
