Results 191 to 200 of about 2,251 (261)

Critical impact of automobile industry with advanced decision support system and Aczél-Alsina Hammy mean operators. [PDF]

Sci Rep
Hussain A, Ullah K, Ali Z, Pamucar D.
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, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

A hybrid framework of hesitant fuzzy soft sets and rough sets for uncertainty modelling. [PDF]

Sci Rep
Jahanvi, Nishad DK, Singh R, Khalid S.
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

Investigation of physical education classroom teaching using AHP with IV-CIFS-based aggregation operators. [PDF]

Sci Rep
Zhang W.
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, Pedram Asef, Masoumeh Javadi, Mousa Marzband, Shady S. Refaat, Muhyaddin Rawa   +5 more
wiley   +1 more source

The m-polar fuzzy TOPSIS hybrid method for manufacturing decisions. [PDF]

Sci Rep
Jagtap M, Karande P.
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, Fajer M. Alelaj, Hussain Al‐Sairfi, Mansour Ahmed   +3 more
wiley   +1 more source

An integrated neutrosophic Z-numbers based CRITIC-EDAS decision model for smart solar panel evaluation in sustainable energy planning. [PDF]

Sci Rep
Abbas MZ, Anjum R, Hussain A, Ahmad M, Haleemzai I.   +4 more
europepmc   +1 more source

A Novel Bipolar DC Connection Strategy for Photovoltaic Power Plants With a 50% Reduction in DC Cabling Length

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, Željko R. Đurišić, Vladan R. Durković   +2 more
wiley   +1 more source