Adaptive energy management in smart homes through fuzzy reinforcement learning and metaheuristic optimization algorithms to minimize costs. [PDF]
Hamedani MMK +3 more
europepmc +1 more source
ABSTRACT Building energy systems integrating multiple energy sources can effectively reduce energy consumption and facilitate renewable energy integration. Integrating electrical energy storage (EES) into these systems helps accommodate the increasing share of renewables; however, the stochastic and intermittent nature of solar power still poses ...
Zhengtian Wu +9 more
wiley +1 more source
SGA-DT: An adaptive fusion framework for missing data imputation and interpretable healthcare classification. [PDF]
Jena M, Dehuri S, Cho SB.
europepmc +1 more source
ABSTRACT With the advancement of smart grid and Internet of Things, alongside broad adoption of distributed energy resources, precise profiling of residential users has become vital to grid operational efficiency and load forecasting accuracy. However, existing profiling approaches mainly rely on single‐source load data and fail to capture the dynamic ...
Danlin Li +6 more
wiley +1 more source
Optimizing sustainable hub depot locations for empty container logistics in Slovenia using particle swarm optimization. [PDF]
Tuljak-Suban D.
europepmc +1 more source
Abstract The rapid growth of distributed energy resources (DERs) is reshaping the operational landscape of transmission and distribution networks, creating new challenges for maintaining system‐wide security, economic efficiency and flexibility. Transmission‐distribution (T‐D) coordination has emerged as an essential paradigm for facilitating multi ...
Yining Yang +4 more
wiley +1 more source
Joint optimization of system utility in UAV-enabled edge computing. [PDF]
Zuo H, Zhang E, Tang Y, Yin M, Dong W.
europepmc +1 more source
A time-coupled multi-objective distributionally robust chance-constrained framework for grid resilience enhancement using mobile emergency generators. [PDF]
Ashokaraju D +4 more
europepmc +1 more source
Sub‐optimal Internet of Thing devices deployment using branch and bound method
The main contributions of this paper are (1) IoT network deployment problem formation as MILP problem to optimise the transmission among network nodes, and (2) New BB method with a machine learning function to reduce the computational complexity. Abstract The Internet of Thing (IoT) network deployments are widely investigated in 4G and 5G systems and ...
Haesik Kim
wiley +1 more source
Editorial: Algorithm-hardware co-optimization in neuromorphic computing for efficient AI. [PDF]
Yousefzadeh A +3 more
europepmc +1 more source

