Results 211 to 220 of about 97,912 (279)

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

Hybrid meta heuristic and fuzzy impedance method for fast fault location in power system lines. [PDF]

Sci Rep
Najafzadeh M, Pouladi J, Daghigh A, Beiza J, Abedinzadeh T.   +4 more
europepmc   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

Energy Science &Engineering, EarlyView.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine, Noureddine El Barbri, Mourad Yessef, Mohammed M. Alammar, Z.M.S. El‐Barbary, Hatim Ameziane   +5 more
wiley   +1 more source

A Review of the Expansion and Integration of Production Line Balancing Problems: From Core Issues to System Integration. [PDF]

Sensors (Basel)
Sitahong A, Lu Z, Yuan Y, Mo P, Ma J.
europepmc   +1 more source

A Resilience‐Based Reward‐Penalty Scheme for Hardening Electricity Distribution Assets Against High‐Impact, Low‐Probability Disasters

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

A novel multi objective grey wolf optimization fuzzy miner for process discovery: Incorporating robustness and explainability in model evaluation. [PDF]

PLoS One
Salehi M, Khayami R, Mirmozaffari M.
europepmc   +1 more source

Electronic jelly: Engineering the mechanics of hydrogels for flexible electronics

FlexMat, EarlyView.
By unifying mechanical reinforcement strategies—double networks, structural ordering, and dynamic interactions—this review demonstrates how engineered hydrogels can transcend their fragility to achieve the strength, toughness, and reliability required for flexible electronics, including wearable sensors, energy devices, and soft robotic systems ...
Tianfu Zheng, Chongling Cheng, Dayang Wang   +2 more
wiley   +1 more source

Multi-objective production scheduling optimization strategy based on fuzzy mathematics theory. [PDF]

PLoS One
Shen H.
europepmc   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

Flexible renewable integrated energy system capabilities to improve voltage stability with power quality and economic environmental operation of smart grid. [PDF]

Sci Rep
Hassankashi A, Dini A, Pirouzi S, Veisi M, Bahreini M.   +4 more
europepmc   +1 more source