Stochastic optimization for price-based unit commitment in renewable energy-based personal rapid transit systems in sustainable smart cities-Reference-Cited by-同舟云学术

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Stochastic optimization for price-based unit commitment in renewable energy-based personal rapid transit systems in sustainable smart cities

Published:2021-02 Issue: Volume:65 Page:102618
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Elkamel Marwen,Ahmadian Ali^ORCID,Diabat Ali,Zheng Qipeng P.

Funder

NYUAD Center for Interacting Urban Networks

NYUAD Research Institute Award CG001

Swiss Re Institute under the Quantum CitiesTM initiative

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference34 articles.

1. Optimal robust unit commitment of CHP plants in electricity markets using information gap decision theory;Aghaei;IEEE Transactions on Smart Grid,2016

2. A review on renewable energy and electricity requirement forecasting models for smart grid and buildings;Ahmad;Sustainable Cities and Society,2020

3. Cost-benefit analysis of V2G implementation in distribution networks considering PEVs battery degradation;Ahmadian;IEEE Transactions on Sustainable Energy,2017

4. Techno-economic evaluation of PEVs energy storage capability in wind distributed generations planning;Ahmadian;Sustainable Cities and Society,2020

5. A review on plug-in electric vehicles: Introduction, current status, and load modeling techniques;Ahmadian;Journal of Modern Power Systems and Clean Energy,2020

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1. Optimizing smart grid performance: A stochastic approach to renewable energy integration;Sustainable Cities and Society;2024-09

2. Evaluation of sustainable energy systems in smart cities using a Multi-Expert Pythagorean fuzzy BWM & TOPSIS methodology;Expert Systems with Applications;2024-09

3. Optimizing Profit-Driven Unit Commitment in Dynamic Electricity Markets: A Focus on Electric Vehicles and Renewable Energy Integration;2024 3rd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO);2024-06-14

4. Quantifying Sustainable Urban Energy Solutions: Statistical Analysis of Renewable Adoption, Economic Viability, and Technological Innovations;Sustainable Cities and Society;2024-02

5. Integration of mobile power-hydrogen storage systems in distribution-level networks: A fuzzy information gap optimization framework;Sustainable Cities and Society;2024-02

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