Results 151 to 160 of about 15,717,904 (337)
Two Aspects of Feedforward Control During a Fencing Lunge: Early and Anticipatory Postural Adjustments. [PDF]
Akbaş A +3 more
europepmc +1 more source
Model-based feedforward control of laser powder bed fusion additive manufacturing
Qian Wang +5 more
semanticscholar +1 more source
The study developed a PVDF/SiO2 humidity sensor with superhydrophobic properties and integrated the humidity sensor into the intelligent powered air‐purifying respirator (IPAPR) for breath monitoring. Coupled with the Gated Recurrent Unit (GRU) machine learning prediction algorithm, it enables feedforward control of the fan to achieve respiratory ...
Xinjian He +9 more
wiley +1 more source
A Feedforward Control-Based Power Decoupling Strategy for Grid-Forming Grid-Connected Inverters
Grid-forming inverters, which are represented by droop control and virtual synchronous generator control, have been widely studied and applied because of their excellent grid-supporting ability and smooth off-grid switching.
Baojin Liu +4 more
doaj +1 more source
Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga +3 more
wiley +1 more source
Given the contradiction between compensating speed and compensating overshoot in traditional Proportional Integral (PI) control of Dynamic Voltage Restorer (DVR), A Feedforward compensation-active Disturbance Rejection Control (FC-ADRC) strategy based on
Langchen Huang +4 more
doaj +1 more source
Somatosensory deafferentation reveals lateralized roles of proprioception in feedback and adaptive feedforward control of movement and posture. [PDF]
Jayasinghe SAL +3 more
europepmc +1 more source
Predicting Parameters Affecting Building Energy Consumption Using Machine Learning Models
This framework integrates long‐term weather forecasting with building energy simulation to predict energy demand. The CNN–LSTM model achieved the highest accuracy (R2 ≈ 0.95), supporting smart HVAC control with ~ 15% energy savings. ABSTRACT The rapid growth of population and the construction industry have led to an increase in energy demand and an ...
Bassam Musheer Kareem +3 more
wiley +1 more source
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
wiley +1 more source
Optimized Dual ANN Control Technique for Efficient Energy Management System (EMS) of Microgrid
Proposed methodology. ABSTRACT The escalating global energy demand necessitates a shift towards sustainable and environmentally friendly alternatives. While renewable energy sources like solar and wind energy offer promising solutions, their intermittent nature poses significant challenges for grid integration.
Bin Li +5 more
wiley +1 more source

