Results 1 to 10 of about 4,560,274 (360)
Submodular Load Clustering with Robust Principal Component Analysis [PDF]
arXiv, 2019 Traditional load analysis is facing challenges with the new electricity usage patterns due to demand response as well as increasing deployment of distributed generations, including photovoltaics (PV), electric vehicles (EV), and energy storage systems (ESS).
Duan, Jiajun +6 more
arxiv +3 more sources
Binary PSOGSA for Load Balancing Task Scheduling in Cloud Environment [PDF]
International Journal of Advanced Computer Science and
Applications(IJACSA), 9(5), 2018, 2018 In cloud environments, load balancing task scheduling is an important issue that directly affects resource utilization. Unquestionably, load balancing scheduling is a serious aspect that must be considered in the cloud research field due to the significant impact on both the back end and front end.
Alnusairi, Thanaa S. +2 more
arxiv +3 more sources
Short-Term Load Forecasting: The Similar Shape Functional Time Series Predictor [PDF]
IEEE Transactions on Power Systems, Vol. 28, 3818-3825 (2013), 2012 We introduce a novel functional time series methodology for short-term load forecasting. The prediction is performed by means of a weighted average of past daily load segments, the shape of which is similar to the expected shape of the load segment to be predicted.
Paparoditis, Efstathios +1 more
arxiv +4 more sources
Research on Adaptive Control of Air-Borne Bolting Rigs Based on Genetic Algorithm Optimization
Machines, 2021 Rotation speed and propulsive force are the two critical parameters in the work of the air-borne bolting rig. To address the problem that unreasonable rotation speed and propulsive force will induce the breakage of the drill pipe and the inability of the
Qingyun Liu, Yiwen Zha, Tao Liu, Chao Lu
doaj +1 more source
Coal and Rock Hardness Identification Based on EEMD and Multi-Scale Permutation Entropy
Entropy, 2021 This study offers an efficient hardness identification approach to address the problem of poor real-time performance and accuracy in coal and rock hardness detection.
Tao Liu, Chao Lu, Qingyun Liu, Yiwen Zha
doaj +1 more source
Mechanical Structural Design and Actuation Technologies of Powered Knee Exoskeletons: A Review
Applied Sciences, 2023 Robot knee exoskeletons can not only help the rehabilitation training function of the elderly and disabled patients, but also enhance the performance of healthy people in normal walking and weigh-bearing walking by providing sufficient torques. In recent
Zongpeng Wu +3 more
doaj +1 more source
Multi‐attribute quantitative bearing fault diagnosis based on convolutional neural network
Cognitive Computation and Systems, 2021 Existing bearing fault diagnosis methods have some disadvantages, one being that most methods cannot completely consider all specific fault attributes.
Shixin Zhang +3 more
doaj +1 more source
IEEE Access, 2022 Dimensionality reduction and the automatic learning of key features from electroencephalographic (EEG) signals have always been challenging tasks. Variational autoencoders (VAEs) have been used for EEG data generation and augmentation, denoising, and ...
Taufique Ahmed, Luca Longo
doaj +1 more source
Explaining Deep Q-Learning Experience Replay with SHapley Additive exPlanations
Machine Learning and Knowledge Extraction, 2023 Reinforcement Learning (RL) has shown promise in optimizing complex control and decision-making processes but Deep Reinforcement Learning (DRL) lacks interpretability, limiting its adoption in regulated sectors like manufacturing, finance, and healthcare.
Robert S. Sullivan, Luca Longo
doaj +1 more source
Shock and Vibration, 2021 An isogeometric analysis (IGA) method is proposed for investigating the active shape and vibration control of functionally graded plates (FGPs) with surface-bonded piezoelectric materials in a thermal environment.
Tao Liu +4 more
doaj +1 more source