Results 51 to 60 of about 1,404 (265)

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

IET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi, Shymaa Mohammed Jameel, Firas Husham Almukhtar, Musaddak Maher Abdul Zahra, Refed Adnan Jaleel   +4 more
wiley   +1 more source

Constructing Ensembles of Dispatching Rules for Multi-objective Problems

, 2022
Scheduling represents an important aspect of many real-world processes, which is why such problems have been well studied in the literature. Such problems are often dynamic and require that multiple criteria be optimised simultaneously. Dispatching rules (DRs) are the method of choice for solving dynamic problems.
Đurasević, Marko, Planinić, Lucija, Gil Gala, Francisco Javier, Jakobović, Domagoj   +3 more
openaire   +2 more sources

A Study of High‐Emission Industries: How Policy, Strategy, and Technology Shape Corporate Social Responsibility Toward Carbon Neutrality

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The extant carbon neutrality (CN) literature largely offers macro‐ or meso‐level analyses, providing limited insights into implementation experiences that could inform granular policymaking and industry strategies. To address this gap, we examine the lived CN experiences of firms in the transportation, energy, manufacturing, and construction ...
Adeel Luqman, Shalini Talwar, Hawazen Almugren, Attila Kurucz, Enrico Battisti   +4 more
wiley   +1 more source

Solar Energy in 2025: Global Deployment, Cost Trends, and the Role of Energy Storage in Enabling a Resilient Smart Energy Infrastructure

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This paper explores global solar PV deployment, cost trends, and grid integration challenges in 2025. It examines the role of energy storage in firming solar output and supporting electric vehicle (EV) growth, alongside policy shifts, investment flows, and technological innovations.
Ehsan Rezaee, S. Ravi P. Silva
wiley   +1 more source

Electrolyte Design Strategies for High‐Energy‐Density Li/Na/K‐Metal Batteries Toward Grid‐Scale Energy Storage: From Liquid to Solid

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This review summarizes key parameters including cathode loading and electrolyte consumption, clarifies the practical application scope of alkali metal batteries, and research progress on advanced electrolytes for grid‐scale energy storage systems. The growing demand for grid‐scale battery energy storage systems (BESSs) has prompted researchers to turn ...
Hui Shao, Zhiwei Ni, Jinkui Feng
wiley   +1 more source

AI‐driven circular economy optimization in waste management: A review of current evidence

Environmental Progress &Sustainable Energy, EarlyView.
Abstract The integration of artificial intelligence (AI) and machine learning (ML) in waste management has the potential to significantly advance circular economy objectives by enhancing efficiency, reducing waste, and optimizing resource recovery. However, realising these benefits depends on addressing significant technical, economic, and systemic ...
David Bamidele Olawade, Ram Narayan Yadav, James O Ijiwade, Ojima Z. Wada   +3 more
wiley   +1 more source

PENJADWALAN 20 JOB 8 MESIN DENGAN METODE GENETIC ALGORITHM (GA)

Spektrum Industri: Jurnal Ilmiah Pengetahuan dan Penerapan Teknik Industri, 2013
Penelitian ini merupakan perluasan dari penelitian sebelumnya yang dilakukan oleh Iskandar (2013) dengan judul “IMPLEMENTASI PENJADWALAN MESIN JOB SHOP DENGAN METODE HEURISTIC DISPATCHING RULES DI CV BOEING TEKNIK MANDIRI”.
Didit Damur Rochman, Rendiyatna Ferdian
doaj  

Learning dispatching rules via an association rule mining approach

, 2018
This thesis proposes a new idea using association rule mining-based approach for discovering dispatching rules in production data. Decision trees have previously been used for the same purpose of finding dispatching rules. However, the nature of the decision tree as a classification method may cause incomplete discovery of dispatching rules, which can ...
openaire   +3 more sources

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

Optimized Dual ANN Control Technique for Efficient Energy Management System (EMS) of Microgrid

Energy Science &Engineering, EarlyView.
Proposed methodology. ABSTRACT The escalating global energy demand necessitates a shift towards sustainable and environmentally friendly alternatives. While renewable energy sources like solar and wind energy offer promising solutions, their intermittent nature poses significant challenges for grid integration.
Bin Li, Bing Qi, Rashid Ali, Abubakar Siddique, Waseem Aslam, Hongfang Pan   +5 more
wiley   +1 more source