Flow shop scheduling with grid-integrated onsite wind power using stochastic MILP
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Flow shop scheduling with grid-integrated onsite wind power using stochastic MILP
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume 56, Issue 5, Pages 2076-2098
Publisher
Informa UK Limited
Online
2017-07-27
DOI
10.1080/00207543.2017.1351638
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Systematic literature review of decision support models for energy-efficient production planning
- (2016) Konstantin Biel et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A Scenario Optimal Reduction Method for Wind Power Time Series
- (2016) Jinghua Li et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- A three-stage decomposition approach for energy-aware scheduling with processing-time-dependent product quality
- (2016) Guo-Sheng Liu et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A shuffled frog-leaping algorithm for flexible job shop scheduling with the consideration of energy consumption
- (2016) Deming Lei et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Unknown
- (2016) WIND ENERGY
- Time-of-use electricity pricing for industrial customers: A survey of U.S. utilities
- (2015) Yong Wang et al. APPLIED ENERGY
- The German Energiewende – History and status quo
- (2015) Jürgen-Friedrich Hake et al. ENERGY
- Green supply chain network optimization and the trade-off between environmental and economic objectives
- (2015) Alice Tognetti et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Mathematical programming formulations for single-machine scheduling problems while considering renewable energy uncertainty
- (2015) Cheng-Hsiang Liu INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Multi-objective genetic algorithm for energy-efficient job shop scheduling
- (2015) Gökan May et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Econological scheduling of a manufacturing enterprise operating under a time-of-use electricity tariff
- (2015) Abhay Sharma et al. JOURNAL OF CLEANER PRODUCTION
- Energy-conscious flow shop scheduling under time-of-use electricity tariffs
- (2014) Hao Zhang et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Wind Power Scenario Generation and Reduction in Stochastic Programming Framework
- (2013) Kailash Chand Sharma et al. ELECTRIC POWER COMPONENTS AND SYSTEMS
- Time-of-use based electricity demand response for sustainable manufacturing systems
- (2013) Yong Wang et al. ENERGY
- Optimization of production scheduling with time-dependent and machine-dependent electricity cost for industrial energy efficiency
- (2013) Joon-Yung Moon et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Hybrid flow shop scheduling considering machine electricity consumption cost
- (2013) Hao Luo et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Smart production scheduling with time-dependent and machine-dependent electricity cost by considering distributed energy resources and energy storage
- (2013) Joon-Yung Moon et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Scenario Generation of Wind Power Based on Statistical Uncertainty and Variability
- (2013) Xi-Yuan Ma et al. IEEE Transactions on Sustainable Energy
- A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction
- (2011) Kan Fang et al. JOURNAL OF MANUFACTURING SYSTEMS
- Current methods and advances in forecasting of wind power generation
- (2011) Aoife M. Foley et al. RENEWABLE ENERGY
- Novel analytical hourly solar radiation models for photovoltaic based system sizing algorithms
- (2010) Fatih Onur Hocaoğlu ENERGY CONVERSION AND MANAGEMENT
- Review of the use of Numerical Weather Prediction (NWP) Models for wind energy assessment
- (2010) Sultan Al-Yahyai et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A methodology to generate statistically dependent wind speed scenarios
- (2009) J.M. Morales et al. APPLIED ENERGY
- Statistical Analysis of Wind Power Forecast Error
- (2008) H. Bludszuweit et al. IEEE TRANSACTIONS ON POWER SYSTEMS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started