Results 211 to 220 of about 224,776 (267)

Tomtit‐Raven Evolutionary Selector‐Reinforced Attention‐Driven: A High‐Performance and Computationally Efficient Cyber Threat Detection Framework for Smart Grids

Energy Science &Engineering, EarlyView.
Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga, Praveen Kumar Balachandran, Umawathy Techanamurthy, Muhammad Ammirrul Atiqi Mohd Zainuri   +3 more
wiley   +1 more source

Photovoltaic power interval prediction with conditional error dependency using Bayesian optimized deep learning. [PDF]

Sci Rep
Chen Y, Wang X, Huang R, You G.
europepmc   +1 more source

Predicting Parameters Affecting Building Energy Consumption Using Machine Learning Models

Energy Science &Engineering, EarlyView.
This framework integrates long‐term weather forecasting with building energy simulation to predict energy demand. The CNN–LSTM model achieved the highest accuracy (R2 ≈ 0.95), supporting smart HVAC control with ~ 15% energy savings. ABSTRACT The rapid growth of population and the construction industry have led to an increase in energy demand and an ...
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Emissions Reductions and Economic Feasibility of China's Solar Thermal Power Industry After the Introduction of Chinese Certified Emission Reduction Policy

Energy Science &Engineering, EarlyView.
ABSTRACT To promote the development of renewable energy, China re‐implemented the Chinese Certified Emission Reduction (CCER) policy in 2023. This study explores certificated CO2 and air pollutants (i.e., NOx, SO2 and particulate matter (PM)) emissions reductions from China's solar thermal power (STP) industry at national scale and conducts the ...
Yun Li, Xintong Liu, Yaxuan Han, Xiaoda Xue   +3 more
wiley   +1 more source

Comparing likelihood-based and likelihood-free approaches to fitting and comparing models of intertemporal choice. [PDF]

Behav Res Methods
Kvam PD, Sokratous K, Fitch AK, Vassileva J.   +3 more
europepmc   +1 more source

Bridging the Gap Between Human Toxicology and Ecotoxicology Under One Health Perspective by a Cross‐Species Adverse Outcome Pathway Network for Reproductive Toxicity

Environmental Toxicology and Chemistry, EarlyView.
Cross‐species extrapolation of adverse outcome pathway network on reproductive toxicity under the One Health perspective using new approach methodologies. AOP = adverse outcome pathway. Abstract Although ecotoxicological and toxicological risk assessments are performed separately from each other, recent efforts have been made in both disciplines to ...
Elizabeth Dufourcq Sekatcheff, Jaeseong Jeong, Jinhee Choi   +2 more
wiley   +1 more source

Bayesian deep learning for probabilistic aquifer vulnerability and uncertainty prediction. [PDF]

Sci Rep
Mengistu TD, Kim MG, Chung IM, Chang SW.
europepmc   +1 more source

A Scoping Review and Bibliometric Analysis on Smart Firefighting in Buildings and Infrastructures

Fire and Materials, EarlyView.
ABSTRACT Smart Firefighting is a concept that has emerged within the fire engineering and fire science disciplines in recent years. It can enable informed decision making and improved fire safety. However, its scope, definition, outcomes, and value to emergency management remain unclear. To investigate this, a scoping review and a bibliometric analysis
José Antonio Morales Mere, Nils Johansson, Enrico Ronchi   +2 more
wiley   +1 more source

Automating wastewater characteristic parameter quantitation using neural architecture search in AutoML systems on spectral reflectance data. [PDF]

Sci Rep
Ankalaki S.
europepmc   +1 more source