Results 141 to 150 of about 298,511 (312)

AI‐Driven Optimization of a Hybrid PV–Wind–BESS Microgrid for a Rural Educational Institution in Developing Countries

Energy Science &Engineering, EarlyView.
An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan, Md. Wajed Ali, Md. Feroz Ali, Md. Shafiul Alam, Mohammad Ali, Imil Hamda Imran   +5 more
wiley   +1 more source

Optimization and Cost Evaluation of an Autonomous Hybrid Renewable Energy System for Electrifying Rural Areas in Nigeria

Energy Science &Engineering, EarlyView.
This research explores the techno‐economic and environmental performance of fully renewable hybrid energy systems for rural electrification in Auchi, Nigeria. HOMER Pro is utilized to model and optimize PV/WT/Battery, PV/Battery, and WT/Battery configurations under identical conditions.
Ibrahim Seidu, Sani Salisu, Abdullahi Abubakar Mas'ud, Umar Musa, Ibrahim Abdullahi Shehu, Adamu Abubakar Sa'idu, Firdaus Muhammad‐Sukki, Mohd Khairul Amri Kamarudin   +7 more
wiley   +1 more source

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

Energy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

A Comprehensive Review on the Significance, Sources, and Applications of Virtual Water on Global Platform

Food Safety and Health, EarlyView.
A conceptual framework of virtual water showing its sources, major applications, components of the virtual water footprint, and emerging future directions. The diagram emphasizes the growing role of virtual water in global sustainability and resource planning.
Priti Bhowmik, Charu Rajpal, Vinay Kumar Pandey   +2 more
wiley   +1 more source

Marine Macroalgae as a Safe Healthy Food While Meeting Food Security Challenges Arising From Climate Changes

Food Safety and Health, EarlyView.
Planned harvesting and processing of marine macroalgae could meet future global food needs and mitigate fuel‐originated carbon dioxide responsible for climate change. Microalgal foods are nutritious and safe. The utilization of macroalgae would avoid environmental problems arising from the release of overgrowing macroalgae caused by heatwaves, which ...
Upali Samarajeewa
wiley   +1 more source

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

Greenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira, Beatriz R. Almeida, Thiago R. C. Justino, Carlos A. S. Santos, Alex A. Santos, Fabiana Philipi   +5 more
wiley   +1 more source

The Energy Dilemma: Does Energy Security Risk and Renewable Energy Affect Fossil Material Footprint? Policy Framework for Securing SDGs

Geological Journal, EarlyView.
Energy security risk has a positive impact on material footprint. Renewable energy consumption reduces material footprint. ABSTRACT Following a high economic growth path, the group of G7 economies is found to be utilising more and more material, causing a material footprint (MF), which in turn contributes to pollution.
Serhat Çamkaya, Faiza Saleem, Afshan Hamid, Magdalena Radulescu, Ahsan Anwar   +4 more
wiley   +1 more source

Developing a Typology of Korean Women Leaders' Resistance to Their Token Status in the Workplace

Human Resource Development Quarterly, EarlyView.
ABSTRACT Despite remarkable economic development in South Korea (Korea), there are only a few women leaders, and they face challenges in the gendered workplace where organizational constraints and traditional values coexist. In a reanalysis of narratives of Korean women leaders (KWLs), using an ideal‐type analysis as a novel qualitative research method,
Yonjoo Cho, Jiwon Park, Sumi Lee, Jieun You, Sokyum Yoon   +4 more
wiley   +1 more source

Correction: Experimental and machine learning-based analysis of red mud influence on recycled aggregate concrete properties. [PDF]

Sci Rep
Haider I, Ali T, Qureshi MZ, Kahla NB, Mabrouk A, Alaneme GU, Ajwad A.   +6 more
europepmc   +1 more source