Results 101 to 110 of about 48,260 (274)
Energy Science &Engineering, EarlyView.Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi +3 more
wiley +1 more source
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 +4 more
wiley +1 more source
Weak convergence of particle swarm optimization
, 2019 Particle swarm optimization algorithm is a stochastic meta-heuristic solving global optimization problems appreciated for its efficacity and simplicity.
Bruned, Vianney +2 more
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Power-Aware Logical Topology Design Heuristics in Wavelength-Routing Networks [PDF]
, 2011 —Wavelength-Routing (WR) networks are the most common solution for core networks. With the access segment moving from copper to Passive Optical Networks (PON), core networks will become one of the major culprits of Internet power consumption. However, WR
Arsalan Ahmad +5 more
core +1 more source
Energy Science &Engineering, EarlyView.ABSTRACT Improving photovoltaics (PV) system performance through simulation requires accurate PV models. The nonlinear relationship between current and voltage, coupled with incomplete manufacturer data, presents a significant challenge in parameter estimation.
Chappani Sankaran Sundar Ganesh +3 more
wiley +1 more source
Meta-heuristics for stable scheduling on a single machine. [PDF]
This paper presents a model for single-machine scheduling with stability objective and a common deadline. Job durations are uncertain, and our goal is to ensure that there is little deviation between planned and actual job starting times.
Ballestin, F, Leus, Roel
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BAT-BP: A new BAT based back-propagation algorithm for efficient data classification [PDF]
, 2016 Training neural networks particularly back propagation algorithm is a complex task of great importance in the field of supervised learning. One of the nature inspired meta-heuristic Bat algorithm is becoming a popular method in solving many complex ...
Hafifi, Nurfarian +4 more
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The Structure of Informal Learning in the Workplace—An Experience Sampling Approach
Human Resource Development Quarterly, EarlyView.ABSTRACT This paper complements retrospective approaches to researching informal learning in the workplace with experience sampling. Since (conscious) informal learning is becoming increasingly important for successfully keeping pace with rapid changes in working environments, a clear understanding of the construct and its precise measurement are ...
Katja Häußermann, Tina Seufert
wiley +1 more source
The Disquiet of Quiet Quitting: Definitional Clarity, Theoretical Pathways, and Future Research
Human Resource Management, EarlyView.ABSTRACT Quiet quitting (QQ) has emerged as a prominent topic in both popular press and academic research, reflecting shifts in employees' engagement, effort allocation, and responses to contemporary work pressures. This review synthesizes findings from 11 papers published in a recent Special Issue on The Disquiet of Quiet Quitting.
Solon Magrizos +5 more
wiley +1 more source
A hybrid scatter search. Electromagnetism meta-heuristic for project scheduling. [PDF]
In the last few decades, several effective algorithms for solving the resource-constrained project scheduling problem have been proposed. However, the challenging nature of this problem, summarised in its strongly NP-hard status, restricts the ...
De Reyck, B +3 more
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