Maximizing green Waqf value through artificial neural network-based energy management system

Che Kamaruddin, Kamal Akashah and Yusoff, Siti Hajar and Hussin, Nasimah and Che Kamaruddin, Kalam Sadiq (2025) Maximizing green Waqf value through artificial neural network-based energy management system. In: 13th Global Waqf Conference 2025 (GWC 2025), 25th-27th November 2025, Rabat, Morocco.

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Abstract

This study presents a novel framework for maximizing Green Waqf value through an artificial neural network-based (ANN) energy management system (EMS). The basic concept of waqf in Islam has long served as a mechanism for wealth distribution and social development. This tradition is historically revolved around religious infrastructure such as mosques, madrasahs, cemeteries, schools and hospitals, and now is increasingly extended to various sectors including renewable energy sector, which is a critical area for addressing climate change, disparities in energy access, and the sustainability of natural resources. A Green Waqf is a charitable endowment whose assets or proceeds are dedicated to renewable-energy projects, sustainable agriculture, or environmental conservation. Unlike conventional waqf, which may invest in real estate or commercial enterprises, green waqf leverages eco-friendly initiatives to generate both social impact and long-term financial returns. The integration of green waqf together with engineering methodology such as ANN-driven EMS to maximize value of waqf is aligned closely with sustainable development goals (SDG) established by United Nations in 2015 particularly in addressing SDG 1 (No Poverty), SDG 7 (Affordable and Clean Energy), SDG 11 (Sustainable Cities and Communities), and SDG 13 (Climate Action).The core of the research methodology is based on leveraging ANN as an advanced tool to enhance the effectiveness of green technologies, this approach can directly optimize the production output of RES. The ANN’s capacity for accurately forecasting generation patterns and dynamically adjusting operational parameters allows for more efficient utilization of green energy assets. As a result, the overall energy yield is maximized, thereby increasing the revenue generated from Green Waqf assets. This improved financial performance not only strengthens the sustainability of the waqf projects but also broadens the distribution of benefits, enabling a larger number of stakeholders including communities, institutions, and beneficiaries, to partake in the social, economic, and environmental advantages delivered by Green Waqf initiatives. Ultimately, the integration of ANN-driven energy management can accelerate the impact and scalability of green waqf as a transformative model for sustainable philanthropic investment.In conclusion, this study demonstrates the innovative merging of Green Waqf principles with advanced ANN-based EMS to maximize the value and impact of sustainable charitable endowments. By harnessing ANN’s sophisticated predictive and optimization capabilities, the performance and profitability of RES within Green Waqf can be significantly enhanced despite the inherent challenges posed by weather variability and operational uncertainties. This integration not only boosts energy production efficiency and extends the lifespan of valuable green assets but also generates sustained financial returns that reinforce the waqf’s long-term viability. Importantly, it perpetuates the spiritual and social rewards for the waqif through sadaqah jariah (continuous charity), aligning the technical and economic benefits with enduring religious fulfillment. The diverse ANN architectures available offer tailored solutions to address different energy management challenges, making them indispensable tools for smart, resilient, and adaptive Green Waqf systems. Ultimately, this research highlights a pathway for transforming traditional Islamic philanthropy into a forward-looking, technology-driven model that supports multiple SDGs by fostering inclusive, clean, and sustainable energy access while empowering communities and protecting the environment. This framework lays a strong foundation for future work focused on scalable implementation, cross-sector collaboration, and policy development to unlock the full potential of Green Waqf as a catalyst for sustainable development and socio-economic well-being.

Item Type:	Proceeding Paper (Plenary Papers)
Uncontrolled Keywords:	Green Waqf, Renewable Energy System, Artificial Neural Networks, Microgrid, Energy Management System,
Subjects:	BPC Science and Technology in Islam > BPC175 Islam and engineering. Sustainable engineering. Sustainable building T Technology > TA Engineering (General). Civil engineering (General) > TA168 Systems engineering T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Ahmad Ibrahim Kulliyyah of Laws Ahmad Ibrahim Kulliyyah of Laws > Department of Islamic Law
Depositing User:	Nasimah Hussin
Date Deposited:	15 Dec 2025 12:45
Last Modified:	15 Dec 2025 12:45
Queue Number:	2025-12-Q1024
URI:	http://irep.iium.edu.my/id/eprint/125989

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