Results 181 to 190 of about 785 (252)

Identifying Faults in Power Transformers Based on Machine‐Learning Algorithms Compared With Other Techniques

open access: yesEnergy Science &Engineering, EarlyView.
General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda   +3 more
wiley   +1 more source

A hierarchical and configurational analysis of Health Technology Assessment outcomes for cell and gene therapies. [PDF]

open access: yesFront Pharmacol
Almalki ZS   +10 more
europepmc   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

open access: yesEnergy Science &Engineering, EarlyView.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine   +5 more
wiley   +1 more source

A Resilience‐Based Reward‐Penalty Scheme for Hardening Electricity Distribution Assets Against High‐Impact, Low‐Probability Disasters

open access: yesEnergy Science &Engineering, EarlyView.
This paper introduces a novel resilience‐based reward‐penalty scheme (RPS) for electricity grids facing high‐impact, low‐probability (HILP) disasters. By modeling the costs of proactive asset immunization against reactive RPS penalties, our analysis conclusively demonstrates that long‐term investment in grid resilience is the more economically rational
Amirhossein Yousefi Joobeni, Reza Dashti
wiley   +1 more source

A fuzzy extension in ALC description logics

open access: yes, 2005
Tzouvaras, V, Stamou, G, Zoitos, P
core  

A Comprehensive Review of AI‐Powered Energy Systems

open access: yesEnergy Science &Engineering, EarlyView.
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo   +5 more
wiley   +1 more source

Adaptive Fuzzy Energy Management of Wind‐Battery Systems With Flexible Desalination Load

open access: yesEnergy Science &Engineering, EarlyView.
An adaptive fuzzy energy management strategy is proposed for a wind‐battery‐powered reverse osmosis desalination system. The controller dynamically adjusts the desalination load based on wind power availability and the battery state of charge to reduce battery stress.
Mustafa Fadel   +3 more
wiley   +1 more source

A Novel Bipolar DC Connection Strategy for Photovoltaic Power Plants With a 50% Reduction in DC Cabling Length

open access: yesEnergy Science &Engineering, EarlyView.
Bipolar configuration is a new topology in the direct current (DC) system of photovoltaic power plants, which is topologically analogous to the bipolar configuration utilised in High‐Voltage Direct Current power transmission systems. DC cable length and copper usage are reduced by 50% using a bipolar configuration.
Duško M. Tovilović   +2 more
wiley   +1 more source

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