Results 191 to 200 of about 585 (260)
Energy Science &Engineering, EarlyView.This study introduces bipolar q‐fractional fuzzy sets and new aggregation operators to support renewable energy selection under uncertainty. The proposed decision‐making framework effectively integrates positive and negative evaluations, ensuring consistent ranking and robust performance, as demonstrated through practical analysis and comparative ...
Sagvan Y. Musa +3 more
wiley +1 more source
HyperPUT: generating synthetic faulty programs to challenge bug-finding tools. [PDF]
Empir Softw EngFelici R, Pozzi L, Furia CA.
europepmc +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 +2 more
wiley +1 more source
Energy Science &Engineering, EarlyView.This paper introduces a novel resilience‐based reward‐penalty scheme (RPS) for electricity grids facing high‐impact, low‐probability (HILP) disasters. By modeling the costs of proactive asset immunization against reactive RPS penalties, our analysis conclusively demonstrates that long‐term investment in grid resilience is the more economically rational
Amirhossein Yousefi Joobeni, Reza Dashti
wiley +1 more source
Multimodal hybrid recurrent framework with selective subpattern activation for smart contract vulnerability detection. [PDF]
Sci RepGopal N, Senthilkumar R, Sivaraja MSM.
europepmc +1 more source
A Comprehensive Review of AI‐Powered Energy Systems
Energy Science &Engineering, EarlyView.The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo +5 more
wiley +1 more source
Design of an AI-driven secure 5G-SDN framework with federated reinforcement learning for anomaly detection, mitigation, and attack forensics. [PDF]
Front Artif IntellShameli R, Rajkumar S.
europepmc +1 more source
Adaptive Fuzzy Energy Management of Wind‐Battery Systems With Flexible Desalination Load
Energy Science &Engineering, EarlyView.An adaptive fuzzy energy management strategy is proposed for a wind‐battery‐powered reverse osmosis desalination system. The controller dynamically adjusts the desalination load based on wind power availability and the battery state of charge to reduce battery stress.
Mustafa Fadel +3 more
wiley +1 more source
The grand challenges of learning medical robot autonomy. [PDF]
Sci RobotDupont PE, Degirmenci A.
europepmc +1 more source
Energy Science &Engineering, EarlyView.Bipolar configuration is a new topology in the direct current (DC) system of photovoltaic power plants, which is topologically analogous to the bipolar configuration utilised in High‐Voltage Direct Current power transmission systems. DC cable length and copper usage are reduced by 50% using a bipolar configuration.
Duško M. Tovilović +2 more
wiley +1 more source