Corporate Decarbonization via Technology and Management
ABSTRACT This study provides a comprehensive overview of key findings on decarbonization, advanced technologies, and management strategies, highlighting emerging themes shaping the field. Advanced technologies enhance carbon reduction through efficiency, real‐time monitoring, and optimizing resource optimization.
Heidy Montero‐Teran +2 more
wiley +1 more source
Integrated renewable energy supply architecture for advancing hydrogen symbiosis and eco synergistic smart grid interactions with next generation combustion technologies. [PDF]
Arun M +7 more
europepmc +1 more source
ABSTRACT Energy is a fundamental driver of economic growth, shaping productivity, industrialization, and long‐term economic resilience. In sub‐Saharan Africa (SSA), where energy access remains uneven and infrastructure is underdeveloped, understanding sector‐specific energy demand is essential for designing sustainable energy strategies.
Michael Appiah +3 more
wiley +1 more source
Adaptive electronic relay for smart grid based on self-healing protection. [PDF]
Nasrallah M +3 more
europepmc +1 more source
ABSTRACT This paper examines the relationship between industrial robotics adoption and ecological capacity, measured by biocapacity, using panel data from 50 countries over the period 2000–2024. We investigate the transmission mechanisms, non‐linearities, spatial spillovers, and heterogeneity characterizing this relationship.
Brahim Bergougui +1 more
wiley +1 more source
Smart grid data compression and reconstruction by wavelet packet transform. [PDF]
Jadhav R, Mahajan A.
europepmc +1 more source
Retraction: The data dimensionality reduction and bad data detection in the process of smart grid reconstruction through machine learning. [PDF]
PLOS One Editors.
europepmc +1 more source
High-Precision Tunneling Magnetoresistance (TMR) Current Sensor for Weak Current Measurement in Smart Grid Applications. [PDF]
Xu Y, Jin Z, Chen J.
europepmc +1 more source
Novel machine learning approach for enhanced smart grid power use and price prediction using advanced shark Smell-Tuned flexible support vector machine. [PDF]
Duan Y, Xu Z, Chen H, Wang Y.
europepmc +1 more source

