An optimization model for the long-term energy planning based on useful energy, economic and environmental pollution reduction in residential sector: A case of Iran

Ahmadi, Somayeh; Fakehi, Amir Hossien; Vakili, Ali; Moeini‐Aghtaie, Moein

doi:10.1016/j.jobe.2020.101247

Cited by 13 publications

(7 citation statements)

References 37 publications

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“…It has modified the way people relate with each other (e.g., social distancing) and how people interact with their natural and built environment (e.g., quarantines, virtual activities); thus, creating the need to adapt the existing built environment to the pandemic’s unprecedented requirements [ 1 , 2 ], such as quickly building healthcare facilities to combat COVID-19 [ 3 ]. The construction industry has been recognized as a key player in shaping the existing built environment [ [4] , [5] , [6] , [7] , [8] , [9] ]. Therefore, an essential aspect of how the existing built environment adapts will relate to how the construction industry can continue operating during and after the current pandemic context.…”

Section: Introductionmentioning

confidence: 99%

Modeling working shifts in construction projects using an agent-based approach to minimize the spread of COVID-19

Araya

2021

Journal of Building Engineering

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Section: Introductionmentioning

confidence: 99%

Modeling working shifts in construction projects using an agent-based approach to minimize the spread of COVID-19

Araya

2021

Journal of Building Engineering

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“…Energy management is directly related to environmental preservation and economic growth. Better optimization and energy management by utilities and consumers contribute towards the achievement of SDGs [72][73][74]. Therefore, both of the stakeholders (consumers and producers) actively participate in energy market trading, which results in dynamic energy management with load forecasting and renewable energy production.…”

Section: Key Issues In Smart Grids and The Outcomes Of Big Data Implementationmentioning

confidence: 99%

A Comprehensive Review on Sustainable Aspects of Big Data Analytics for the Smart Grid

Kumar¹,

Kasinathan²,

Elavarasan

et al. 2021

Sustainability

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The role of energy is cardinal for achieving the Sustainable Development Goals (SDGs) through the enhancement and modernization of energy generation and management practices. The smart grid enables efficient communication between utilities and the end- users, and enhances the user experience by monitoring and controlling the energy transmission. The smart grid deals with an enormous amount of energy data, and the absence of proper techniques for data collection, processing, monitoring and decision-making ultimately makes the system ineffective. Big data analytics, in association with the smart grid, enable better grid visualization and contribute toward the attainment of sustainability. The current research work deals with the achievement of sustainability in the smart grid and efficient data management using big data analytics, that has social, economic, technical and political impacts. This study provides clear insights into energy data generated in the grid and the possibilities of energy theft affecting the sustainable future. The paper provides insights about the importance of big data analytics, with their effects on the smart grids’ performance towards the achievement of SDGs. The work highlights efficient real-time energy data management involving artificial intelligence and machine learning for a better future, to short out the effects of the conventional smart grid without big data analytics. Finally, the work discusses the challenges and future directions to improve smart grid technologies with big data analytics in action.

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“…Zhang et al [396] suggested a Single-node model. Ahmadi et al [397] established an energy optimization model for Long term energy planning. Deveci and Güler [398] proposed CMOPSO model for RE planning.…”

Section: Rajesh Et Al [349] Established a Multi-stage Mixedmentioning

confidence: 99%

Recent Updates on Energy Planning Models - A Review

Hafeez

Gulshan

Tahira

2020

Journal of Mechanical and Energy Engineering

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Energy is the most important part for community and financial growth of any country. Energy planning models play a vital role in strategy formulation and power sector progress. In this paper a systematic review and comparison of energy planning models developed and applied from 1977-2019 has been presented. The review indicates that most of the energy planning models has been presented and applied in developed nations. Only few numbers of energy planning models have been presented and applied in under developing countries. The review also shows the comparison of energy planning models applied in developed and under-developed countries. This review article will assistance the energy managers, scholars and strategy makers broadly.

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An optimization model for the long-term energy planning based on useful energy, economic and environmental pollution reduction in residential sector: A case of Iran

Cited by 13 publications

References 37 publications

Modeling working shifts in construction projects using an agent-based approach to minimize the spread of COVID-19

Modeling working shifts in construction projects using an agent-based approach to minimize the spread of COVID-19

A Comprehensive Review on Sustainable Aspects of Big Data Analytics for the Smart Grid

Recent Updates on Energy Planning Models - A Review

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