Manuel Sage

Time-Series Data for Hybrid Energy System Planning with Deep Reinforcement Learning: A Case Study in Ontario

Manuel Sage, Bi Cheng Zhao, Yaoyao Fiona Zhao

Zenodo (CERN European Organization for Nuclear Research)OPEN ACCESS

Deep reinforcement learning for joint dispatch of battery storage and gas turbines in renewable-powered microgrids

Manuel Sage, Khalil Al Handawi, Yaoyao Fiona Zhao

Energy and AIOPEN ACCESS

The Economic Dispatch of Power-to-Gas Systems With Deep Reinforcement Learning: Tackling the Challenge of Delayed Rewards With Long-Term Energy Storage

Manuel Sage, Khalil Al Handawi, Yaoyao Fiona Zhao

The Economic Dispatch of Power-to-Gas Systems with Deep Reinforcement Learning:Tackling the Challenge of Delayed Rewards with Long-Term Energy Storage

Manuel Sage, Khalil Al Handawi, Yaoyao Fiona Zhao

arXiv (Cornell University)OPEN ACCESS

Deep reinforcement learning for economic battery dispatch: A comprehensive comparison of algorithms and experiment design choices

Manuel Sage, Yaoyao Fiona Zhao

Journal of Energy StorageOPEN ACCESS

Deep Reinforcement Learning for the Joint Dispatch of Battery Energy Storage Systems and Gas Turbines in Microgrids with Renewable Energy

Manuel Sage, Khalil Al Handawi, Yaoyao Fiona Zhao

SSRN Electronic JournalOPEN ACCESS

Toward Zero-Shot Generalization of Deep Reinforcement Learning for Hybrid Energy System Dispatch

Manuel Sage, Khalil Al Handawi, Yaoyao Fiona Zhao

SSRN Electronic JournalOPEN ACCESS

Enhancing Battery Storage Energy Arbitrage With Deep Reinforcement Learning and Time-Series Forecasting

Manuel Sage, Joshua Campbell, Yaoyao Fiona Zhao

OPEN ACCESS

Deep Reinforcement Learning for Economic Battery Dispatch: A Comprehensive Comparison of Algorithms and Experiment Design Choices

Manuel Sage, Yaoyao Fiona Zhao

SSRN Electronic JournalOPEN ACCESS

A sequential cross-product knowledge accumulation, extraction and transfer framework for machine learning-based production process modelling

Jiarui Xie, Chonghui Zhang, Manuel Sage, Mutahar Safdar, Yaoyao Fiona Zhao

International Journal of Production Research

Optimal Economic Gas Turbine Dispatch with Deep Reinforcement Learning

Manuel Sage, Martin Staniszewski, Yaoyao Fiona Zhao

arXiv (Cornell University)OPEN ACCESS

Economic Battery Storage Dispatch with Deep Reinforcement Learning from Rule-Based Demonstrations

Manuel Sage, Martin Staniszewski, Yaoyao Fiona Zhao

OPEN ACCESS

Optimal Economic Gas Turbine Dispatch with Deep Reinforcement Learning

Manuel Sage, Martin Staniszewski, Yaoyao Fiona Zhao

IFAC-PapersOnLineOPEN ACCESS

Feature selection and feature learning in machine learning applications for gas turbines: A review

Jiarui Xie, Manuel Sage, Yaoyao Fiona Zhao

Engineering Applications of Artificial IntelligenceOPEN ACCESS

A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management

Ying Zhang, Mutahar Safdar, Jiarui Xie, Jinghao Li, …, Yaoyao Fiona Zhao

Journal of Intelligent ManufacturingOPEN ACCESS

Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles.

Manuel Sage, Pietro Cruciata, Raed Abdo, Jackie Chi Kit Cheung, Yaoyao Fiona Zhao

PolyPublie (École Polytechnique de Montréal)

Machine Learning for Competitive Grain Growth Behavior in Additive Manufacturing Ti6Al4V

Jinghao Li, Manuel Sage, Xianglin Zhou, Mathieu Brochu, Yaoyao Fiona Zhao

MATEC Web of ConferencesOPEN ACCESS

Machine Learning-Enabled Competitive Grain Growth Behavior Study in Directed Energy Deposition Fabricated Ti6Al4V

Jinghao Li, Manuel Sage, Xiaoyi Guan, Mathieu Brochu, Yaoyao Fiona Zhao

JOMOPEN ACCESS