Recent trends in task and motion planning for robotics: A survey
Autonomous robots are increasingly served in real-world unstructured human environments
with complex long-horizon tasks, such as restaurant serving and office delivery. Task and …
with complex long-horizon tasks, such as restaurant serving and office delivery. Task and …
Stochastic optimization–based economic design for a hybrid sustainable system of wind turbine, combined heat, and power generation, and electric and thermal …
This work-study deals with the economic planning of an island sustainable system that
consists of a wind turbine, battery, combined heat and power system, and thermal storage to …
consists of a wind turbine, battery, combined heat and power system, and thermal storage to …
Economic energy managementof networked flexi-renewable energy hubs according to uncertainty modeling by the unscented transformation method
XW Zhang, X Yu, X Ye, S Pirouzi - Energy, 2023 - Elsevier
The utilization of energy hubs (EHs) in the power system and simultaneous energy
management of several energy networks is of high importance to increase energy efficiency …
management of several energy networks is of high importance to increase energy efficiency …
Market clearing price-based energy management of grid-connected renewable energy hubs including flexible sources according to thermal, hydrogen, and …
With the advancement of energy generation and storage technologies, it is expected that the
environmentally-friendly integrated units of these elements will have a significant application …
environmentally-friendly integrated units of these elements will have a significant application …
Multi-objective economic operation of smart distribution network with renewable-flexible virtual power plants considering voltage security index
This paper discusses the simultaneous management of active and reactive power of a
flexible renewable energy-based virtual power plant placed in a smart distribution system …
flexible renewable energy-based virtual power plant placed in a smart distribution system …
Energy and performance-efficient task scheduling in heterogeneous virtualized cloud computing
In virtualized cloud computing systems, energy reduction is a serious concern since it can
offer many major advantages, such as reducing running costs, increasing system efficiency …
offer many major advantages, such as reducing running costs, increasing system efficiency …
A multi-objective optimization scheduling method based on the ant colony algorithm in cloud computing
For task-scheduling problems in cloud computing, a multi-objective optimization method is
proposed here. First, with an aim toward the biodiversity of resources and tasks in cloud …
proposed here. First, with an aim toward the biodiversity of resources and tasks in cloud …
A survey on algorithms for intelligent computing and smart city applications
With the rapid development of human society, the urbanization of the world's population is
also progressing rapidly. Urbanization has brought many challenges and problems to the …
also progressing rapidly. Urbanization has brought many challenges and problems to the …
Green AI for IIoT: Energy efficient intelligent edge computing for industrial internet of things
Artificial Intelligence (AI) technology is a huge opportunity for the Industrial Internet of Things
(IIoT) in the fourth industrial revolution (Industry 4.0). However, most AI-driven applications …
(IIoT) in the fourth industrial revolution (Industry 4.0). However, most AI-driven applications …
Security-critical energy-aware task scheduling for heterogeneous real-time MPSoCs in IoT
Internet of Things (IoT) devices, such as intelligent road side units and video-based
detectors, are being deployed in emerging applications like sustainable and intelligent …
detectors, are being deployed in emerging applications like sustainable and intelligent …