Results 231 to 240 of about 93,448 (292)

A Review of Human–AI Synergy in Smart Energy Management Concepts, Functions, Applications, and Future Frontiers

Energy Internet, EarlyView.
ABSTRACT Smart energy management systems (EMS) are entering a phase of rapid transformation. Artificial intelligence (AI)—including machine learning (ML), deep learning (DL), and reinforcement learning (RL)—has become the computational backbone for real‐time forecasting, scheduling, and control of renewable‐rich power systems.
Sihai An, Jing Qiu, Jiafeng Lin, Zhe Yuan, Weiyi Tian, Zongyu Yao   +5 more
wiley   +1 more source

DRFC: An efficient cloud-based feature reduction and clustering algorithm for agricultural product and remote-sensing imagery. [PDF]

PLoS One
Fu X, Xu Y.
europepmc   +1 more source

Multiterminal High‐Voltage Direct Current Projects: A Comprehensive Assessment and Future Prospects

High Voltage, EarlyView.
ABSTRACT Multiterminal high‐voltage direct current (MT‐HVDC) systems are an important part of modern power systems, addressing the need for bulk power delivery and efficient renewable energy integration. This paper provides a comprehensive overview of recent advances in MT‐HVDC technology, including launched projects and ongoing initiatives.
Mohammad Hossein Mousavi, Hassan Moradi, Kumars Rouzbehi, Vijay K. Sood   +3 more
wiley   +1 more source

Energy-Efficient Hierarchical Federated Learning in UAV Networks with Partial AI Model Upload Under Non-Convex Loss. [PDF]

Sensors (Basel)
Li H, Wang S, Du Y, Li R, Fan X, Luo C.
europepmc   +1 more source

Visa restrictions: A structural determinant of global health that must be confronted head-on. [PDF]

PLOS Glob Public Health
Bain LE, Ojong SA, Sindi JK, Njei B, Omam LA, Kyobutungi C.   +5 more
europepmc   +1 more source

Learning enhanced scheduling and resource allocation for heterogeneous UAV swarms in edge assisted remote sensing. [PDF]

Sci Rep
Zhang J, Hu Y, Shao M, Tang Y, Wang L, Li X.   +5 more
europepmc   +1 more source

Offshore wind and hybrids - A counterfactual case study for impacts in the coupled day-ahead market of Europe. [PDF]

PLoS One
Jakob Fliegner F, Esch H, Traber T, Schrade M.   +3 more
europepmc   +1 more source

A multi-agent reinforcement learning scheduling algorithm integrating state graph and task graph structural modeling for ride-sharing dispatching. [PDF]

Sci Rep
Sha J, Song M, Sui G, Sun H, Dong D.
europepmc   +1 more source

Portfolio management based on value distribution reinforcement learning algorithm. [PDF]

Front Artif Intell
Yang Y, Wang T, Fu Y, Huang J, Zhou D.
europepmc   +1 more source