Results 71 to 80 of about 17,775 (173)

A Fractional Hybrid Strategy for Reliable and Cost-Optimal Economic Dispatch in Wind-Integrated Power Systems

Fractal and Fractional
Economic dispatch in wind-integrated power systems is a critical challenge, yet many recent metaheuristics suffer from premature convergence, heavy parameter tuning, and limited ability to escape local optima in non-smooth valve-point landscapes.
Abdul Wadood, Babar Sattar Khan, Bakht Muhammad Khan, Herie Park, Byung O. Kang   +4 more
doaj   +1 more source

Net-Zero Energy House-Oriented Linear Programming for the Sizing Problem of Photovoltaic Panels and Batteries

IEEE Access
The global drive towards carbon neutrality has led to a significant increase in the number of power plants based on renewable energy sources (RES). Concurrently, numerous households are adopting RES to generate their own energy, aiming to decrease both ...
A. Daniel Carnerero, Taichi Tanaka, Mengmou Li, Takeshi Hatanaka, Yasuaki Wasa, Kenji Hirata, Yoshiaki Ushifusa, Takanori Ida   +7 more
doaj   +1 more source

Joint Linear Processing for an Amplify-and-Forward MIMO Relay Channel with Imperfect Channel State Information

EURASIP Journal on Advances in Signal Processing, 2010
The problem of jointly optimizing the source precoder, relay transceiver, and destination equalizer has been considered in this paper for a multiple-input-multiple-output (MIMO) amplify-and-forward (AF) relay channel, where the channel estimates of all ...
Vandendorpe Luc, Chalise BatuK
doaj  

A class of nonconvex semidefinite programming in which every KKT point is globally optimal

We consider a special class of nonconvex semidefinite programming problems and show that every point satisfying the Karush--Kuhn--Tucker (KKT) conditions is globally optimal despite nonconvexity. This property is related to pseudoconvex optimization. This class of problems is motivated by an eigenfrequency topology optimization problem in structural ...
Nishioka, Akatsuki, Kanno, Yoshihiro
openaire   +2 more sources

Impact of endogenous learning curves on maritime transition pathways

Environmental Research Letters
The maritime industry is a crucial hard-to-abate sector that is expected to depend on high-energy density renewable liquid fuels in the future. Traditionally, decarbonization pathways have been assessed assuming exogenous cost trajectories for renewable ...
Sebastian Franz, Rasmus Bramstoft
doaj   +1 more source

DC programming and DCA for nonconvex optimization/ global optimization in mixed integer programming : Codes and applications

, 2013
Based on theoretical and algorithmic tools of DC programming and DCA, the research in this thesis focus on the local and global approaches for non convex optimization and global mixed integer optimization. The thesis consists of 5 chapters. The first chapter presents fundamentals of DC programming and DCA, and techniques of Branch and Bound method (B&B)
openaire   +1 more source

Global optimization tailored for graphics processing units: Complete and rigorous search for large-scale nonlinear minimization. [PDF]

PNAS Nexus
Zhang G, Shan Q, Cagan J.
europepmc   +1 more source

Energy-Efficient 3D Trajectory Optimization and Resource Allocation for UAV-Enabled ISAC Systems. [PDF]

Entropy (Basel)
Jing L, Wang H, Qin Z, Zhao Y, Zhu Y, Zhao W.   +5 more
europepmc   +1 more source

Joint Beamforming for Integrated Satellite-Terrestrial ISAC Systems. [PDF]

Sensors (Basel)
Wang T, Wang Q.
europepmc   +1 more source

A Review of Source-Term Estimation for Continuous Methane Monitoring: From Data Acquisition to Modeling and Estimation. [PDF]

ACS Omega
Xie Z, Tang J, Li R, Tian G, Ma R.
europepmc   +1 more source