Smart Integration Based on Hybrid Particle Swarm Optimization Technique for Carbon Dioxide Emission Reduction in Eco-Ports
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Smart Integration Based on Hybrid Particle Swarm Optimization Technique for Carbon Dioxide Emission Reduction in Eco-Ports
Authors
Keywords
-
Journal
Sustainability
Volume 11, Issue 8, Pages 2218
Publisher
MDPI AG
Online
2019-04-13
DOI
10.3390/su11082218
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Smart Hybrid Micro-Grid Integration for Optimal Power Sharing-Based Water Cycle Optimization Technique
- (2018) Peter Makeen et al. Energies
- Unit Commitment Towards Decarbonized Network Facing Fixed and Stochastic Resources Applying Water Cycle Optimization
- (2018) Heba-Allah ElAzab et al. Energies
- A Reconfigured Whale Optimization Technique (RWOT) for Renewable Electrical Energy Optimal Scheduling Impact on Sustainable Development Applied to Damietta Seaport, Egypt
- (2018) Noha H. El-Amary et al. Energies
- Agent-based simulation for horizontal cooperation in logistics and transportation: From the individual to the grand coalition
- (2018) Adrian Serrano-Hernandez et al. SIMULATION MODELLING PRACTICE AND THEORY
- A Two-Stage Approach for Network Constrained Unit Commitment Problem With Demand Response
- (2018) Vamsi Krishna Tumuluru et al. IEEE Transactions on Smart Grid
- Network-constrained unit commitment under significant wind penetration: A multistage robust approach with non-fixed recourse
- (2018) Noemi G. Cobos et al. APPLIED ENERGY
- A Distributionally Robust Optimization Model for Unit Commitment Considering Uncertain Wind Power Generation
- (2017) Peng Xiong et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Recent approaches of unit commitment in the presence of intermittent renewable energy resources: A review
- (2017) Saleh Y. Abujarad et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Incorporating Wind Energy in Power System Restoration Planning
- (2017) Amir Golshani et al. IEEE Transactions on Smart Grid
- Optimal Robust Unit Commitment of CHP Plants in Electricity Markets Using Information Gap Decision Theory
- (2017) Jamshid Aghaei et al. IEEE Transactions on Smart Grid
- Optimal Interconnection Planning of Community Microgrids With Renewable Energy Sources
- (2017) Liang Che et al. IEEE Transactions on Smart Grid
- A Novel MPPT Algorithm Based on Particle Swarm Optimization for Photovoltaic Systems
- (2017) Ramdan B. A. Koad et al. IEEE Transactions on Sustainable Energy
- A dynamic programing-based framework for distribution system restoration considering load uncertainties
- (2017) Shahin Riahinia et al. International Transactions on Electrical Energy Systems
- A novel stability-based adaptive inertia weight for particle swarm optimization
- (2016) Mojtaba Taherkhani et al. APPLIED SOFT COMPUTING
- Co-optimizing generation and transmission expansion with wind power in large-scale power grids—Implementation in the US Eastern Interconnection
- (2016) Shutang You et al. ELECTRIC POWER SYSTEMS RESEARCH
- Energy penalty estimates for CO2 capture: Comparison between fuel types and capture-combustion modes
- (2016) Suraj Vasudevan et al. ENERGY
- Toward Cost-Efficient and Reliable Unit Commitment Under Uncertainty
- (2016) Hrvoje Pandzic et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Optimisation model for power system restoration with support from electric vehicles employing battery swapping
- (2016) Lei Sun et al. IET Generation Transmission & Distribution
- Power system restoration: a literature review from 2006 to 2016
- (2016) Yutian LIU et al. Journal of Modern Power Systems and Clean Energy
- Optimal scheduling for vehicle-to-grid operation with stochastic connection of plug-in electric vehicles to smart grid
- (2015) Linni Jian et al. APPLIED ENERGY
- A Convex Model of Risk-Based Unit Commitment for Day-Ahead Market Clearing Considering Wind Power Uncertainty
- (2015) Ning Zhang et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- A new scenario generation-based method to solve the unit commitment problem with high penetration of renewable energies
- (2015) G.J. Osório et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish 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