AIMC Topic: Electricity

Clear Filters Showing 111 to 120 of 131 articles

Artificial neural network and SARIMA based models for power load forecasting in Turkish electricity market.

PloS one
Load information plays an important role in deregulated electricity markets, since it is the primary factor to make critical decisions on production planning, day-to-day operations, unit commitment and economic dispatch. Being able to predict the loa...

Study on electric energy consumed in intermittent series-parallel elastic actuators (iSPEA).

Bioinspiration & biomimetics
On compliant actuators, intermittent series-parallel elastic actuators (iSPEA) can reduce motor load by variable load cancellation through recruitment of parallel springs by a single motor. However, the potential to reduce electric energy consumed, c...

Learning through ferroelectric domain dynamics in solid-state synapses.

Nature communications
In the brain, learning is achieved through the ability of synapses to reconfigure the strength by which they connect neurons (synaptic plasticity). In promising solid-state synapses called memristors, conductance can be finely tuned by voltage pulses...

Quality stability and sensory attributes of apple juice processed by thermosonication, pulsed electric field and thermal processing.

Food science and technology international = Ciencia y tecnologia de los alimentos internacional
Worldwide, apple juice is the second most popular juice, after orange juice. It is susceptible to enzymatic browning spoilage by polyphenoloxidase, an endogenous enzyme. In this study, Royal Gala apple juice was treated by thermosonication (TS: 1.3 W...

Ubiquitous Robotic Technology for Smart Manufacturing System.

Computational intelligence and neuroscience
As the manufacturing tasks become more individualized and more flexible, the machines in smart factory are required to do variable tasks collaboratively without reprogramming. This paper for the first time discusses the similarity between smart manuf...

Complete characterization of the stability of cluster synchronization in complex dynamical networks.

Science advances
Synchronization is an important and prevalent phenomenon in natural and engineered systems. In many dynamical networks, the coupling is balanced or adjusted to admit global synchronization, a condition called Laplacian coupling. Many networks exhibit...

A Spacecraft Electrical Characteristics Multi-Label Classification Method Based on Off-Line FCM Clustering and On-Line WPSVM.

PloS one
This paper proposes a novel multi-label classification method for resolving the spacecraft electrical characteristics problems which involve many unlabeled test data processing, high-dimensional features, long computing time and identification of slo...

The straintronic spin-neuron.

Nanotechnology
In artificial neural networks, neurons are usually implemented with highly dissipative CMOS-based operational amplifiers. A more energy-efficient implementation is a 'spin-neuron' realized with a magneto-tunneling junction (MTJ) that is switched with...

Toward a new generation of electrically controllable hygromorphic soft actuators.

Advanced materials (Deerfield Beach, Fla.)
An innovative processing strategy for fabricating soft structures that possess electric- and humidity-driven active/passive actuation capabilities along with touch- and humidity-sensing properties is reported. The intrinsically multifunctional materi...

Optimizing parameters on alignment of PCL/PGA nanofibrous scaffold: An artificial neural networks approach.

International journal of biological macromolecules
This paper proposes an artificial neural networks approach to finding the effects of electrospinning parameters on alignment of poly(ɛ-caprolactone)/poly(glycolic acid) blend nanofibers. Four electrospinning parameters, namely total polymer concentra...