Advances in Decision Sciences (ADS)

Special Issue on : Decision Science in Energy Economics and Environment for Reducing Carbon Footprint and Achieving Sustainable Development Goals

The need of combating climate change and completing the Sustainable Development Goals (SDGs) has been increasingly recognized during the last decade. The field of decision science has been essential in this effort, allowing us to refine our strategies for cutting emissions and increasing sustainability over time. The development of smart, active buildings that can actively and effectively contribute to the reduction of carbon emissions is a direct result of the contributions of decision science at a time when technological advancement and environmental stewardship are at an inflection point. The SDGs will be much easier to achieve because to these developments.
Decision sciences based ‘smart active buildings’ and ‘net-zero energy buildings’ try to maintain indoor thermal comfort while using as little energy as possible (Castagneto Gissey et al., 2021; Motlagh et al., 2020). Smart active building modelling has significant advantages for improving building energy efficiency, Storage, and the development of sustainable energy systems (Bourdeau et al., 2019). In order to achieve the United Nations’ Sustainable Development Goals, smart active buildings have become an attractive option for addressing global imperatives and strict environmental standards connected to energy and sustainability. In addition, smart active buildings demonstrated how technological innovation and brilliance may assist in achieving the sustainable energy goals and minimize GHG emissions.
Energy use in buildings is responsible for 40% of global greenhouse gas emissions. Despite the initiatives taken in different parts of the world, an increasing trend in energy usage is being experienced throughout the globe. Many analysts think this rising trend is because of improved living standards. Energy efficiency in building development is strictly regulated in some parts of the world, such as Europe. 40% of overall energy is consumed by buildings in Europe (Kim et al., 2020; Pérez-Andreu et al., 2018). Moreover, greenhouse gas (GHG) emissions have increased significantly due to rising energy demand in homes and businesses. 40% of global direct and indirect GHG emissions and 33% of global energy use are attributed to building energy (Dominković et al., 2018). In order to decrease reliance on the power grid and reduce greenhouse gas emissions,
Researchers are encouraged to submit both original research and review articles for this special issue on use of decision sciences and AI for realization of ‘smart active buildings’ and ‘net-zero energy buildings’ in rapidly urbanizing areas especially in low income population/ countries. The potential topics of this special issue include, but are not limited to:


Bourdeau, M., Zhai, X. qiang, Nefzaoui, E., Guo, X., & Chatellier, P. (2019). Modeling and forecasting building energy consumption: A review of data-driven techniques. Sustainable Cities and Society, 48.
Castagneto Gissey, G., Zakeri, B., Dodds, P. E., & Subkhankulova, D. (2021). Evaluating consumer investments in distributed energy technologies. Energy Policy, 149, 112008.
Motlagh, N. H., Khatibi, A., & Aslani, A. (2020). Toward Sustainable Energy-Independent Buildings Using Internet of Things. Energies 2020, Vol. 13, Page 5954, 13(22), 5954.

Submission Deadline: May 31, 2024

Guest Editors:

Dr. Muhammad Mohsin (Saudi Arabia)
Scopus ID:
Taif University Weblink:

Dr. Victor Shi (Canada)
Google Scholar:

Manuscript submission information:

You are invited to submit your manuscript before the submission deadline of Mar 1, 2024. For any inquiries about the appropriateness of contribution topics, please contact Managing Guest Editor Muhammad Mohsin via

The journal’s submission platform is available for receiving submissions to this Special Issue. Please refer to the to prepare your manuscript.

When you make a submission to this special issue, please write down the special issue topic in the “Comments for the Editor”.

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