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An Energy-Based Similarity Measure for Time Series
2007
EURASIP Journal on Advances in Signal Processing
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A new similarity measure, called SimilB, for time series analysis, based on the cross-Ψ B -energy operator (2004) , is introduced. ...
SimilB is illustrated with synthetic time series and an artificial dataset and compared to the CC and the ED measures. ...
INTRODUCTION A Time Series (TS) is a sequence of real numbers where each one represents the value of an attribute of interest (stock or commodity price, sale, exchange, weather data, biomedical measurement ...
doi:10.1155/2008/135892
fatcat:ira6ewyvfjc3hpg3a6khya7cpu
Clustering time-series energy data from smart meters
2014
Energy Efficiency
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The results show accurate grouping of accounts similar in their energy usage patterns, and potential for the method to be utilized in energy efficiency programs. 1 ...
Investigations have been performed into using clustering methods in data mining time-series data from smart meters. ...
An energy usage profile -a series of energy (kWh) as a function of time -is time-series data that can reveal a lot about energy efficiency. ...
doi:10.1007/s12053-014-9316-0
fatcat:xhqcj6gjerfcrdytqdh7n4o3by
Automated Detection of Electric Energy Consumption Load Profile Patterns
2022
Energies
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In order to automate this analysis, the application of state-of-the-art data mining techniques for time series analysis is reviewed. ...
Additionally, a selection of dynamic clustering algorithms have been implemented and the performances compared using an available electric energy consumption load profile database. ...
In [100] , gene expressions are modelled as splines, thus reducing the size of the time series data, filtering noise and loss of information, and then applying an energy based similarity measure, called ...
doi:10.3390/en15062176
fatcat:3gpewmzmybgudnhljzmxed2s2i
Spectral Correlation Measure for Selecting Intrinsic Mode Functions
[chapter]
2014
Lecture Notes in Computer Science
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In that sense, representation methods based on time series decomposition and similarity measures are combined to select representative features with physical interpretability. ...
In this work, we introduce two similarity measures based on the cross-power spectral density to select representative intrinsic mode functions (IMF) that characterize the time series. ...
Thereby, in [4] summarize a set of similarity measures for time series based on whole series matching such as dynamic time warping, euclidean distance and its editions, however, those measures have not ...
doi:10.1007/978-3-319-12568-8_29
fatcat:it5edc6eevfjnha67j3he3kpk4
Analysis of Similarity Measures in Times Series Clustering for the Discovery of Building Energy Patterns
2013
Energies
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e.g., time series. ...
The present paper checks the effect of similarity measures in the application of clustering for discovering representatives in cases where correlation is supposed to be an important factor to consider, ...
An interesting measure specially addressed to time series comparison is the Dynamic Time Warping (DTW) distance [21] . ...
doi:10.3390/en6020579
fatcat:t3u4ggtnjzfydo2jzrcocyn4xu
An Energy Activity Dataset for Smart Homes
[article]
2022
arXiv
pre-print
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A revised longest-common-subsequence (LCS) similarity measurement algorithm is proposed to calculate energy dataset similarities. ...
The link for the EAD dataset is: https://drive.google.com/drive/folders/1zn0V6Q8eXXSKxKgcs8ZRValL5VEn3anD ...
In the first step, a revised LCS approach is used for measuring the similarity between two time series. ...
arXiv:2208.13416v2
fatcat:7mwokfbc3bflzhl6htdoolts6a
Group Line Energy in Phase-Resolved Ocean Surface Wave Orbital Velocity Reconstructions from X-band Doppler Radar Measurements of the Sea Surface
2019
Remote Sensing
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This increased accuracy is demonstrated by higher correlations between POD reconstructed time series with buoy ground truth measurements than dispersion curve filtered reconstructions. ...
to ground truth wave buoy measurements within the field of view of the radar. ...
Coastal Observing Research and Development Center at the Scripps Institute of Oceanography for providing the wave data from GPS mini-buoys. ...
doi:10.3390/rs11010071
fatcat:4voejuzul5cdbkiiauaz75roea
A Novel Integrated Measure for Energy Market Efficiency
2015
Procedia Computer Science
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This paper formulates a novel integrated measure for energy market efficiency, by investigating different perspectives of the market performance. ...
For illustration and verification, the proposed measure is applied to two typical energy markets, i.e., crude oil and carbon markets. ...
Based on different features, the complexity measurements for time series data can be divided into three main groups, i.e., fractality [3] (mono-or multi-fractality) for self-similarity (or system memorability ...
doi:10.1016/j.procs.2015.07.143
fatcat:ah4gtgctsnfdlpxrcwqcgdp5pm
Data-Driven Copy-Paste Imputation for Energy Time Series
[article]
2021
arXiv
pre-print
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The CPI method copies data blocks with similar properties and pastes them into gaps of the time series while preserving the total energy of each gap. ...
However, existing imputation methods are designed for power time series and do not take into account the total energy of gaps, resulting in jumps or constant shifts when imputing energy time series. ...
This calibration set consists of five time series with characteristics similar to the 50 time series used for the evaluation. ...
arXiv:2101.01423v1
fatcat:3agi5fflcrfjfjwkcrrqcdn6qi
Seasonal Characteristics Analysis and Uncertainty Measurement for Wind Speed Time Series
2020
Energy Engineering
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Based on the energy distribution about the extracted amplitude and associated frequency, the uncertainty measurement is processed through Rényi entropy analysis method with time-frequency nature. ...
Nonparametric statistical method is used to test the randomness of wind speed, more precisely, whether or not the wind speed time series is independent and identically distribution (i.i.d) based on the ...
Rényi entropy can derive a good quality measurement for the wind speed uncertainty over time, which also provides an estimation of the time series based on a quantitative measure of sample quality. ...
doi:10.32604/ee.2020.011126
fatcat:egczlarcgzewxgypnqp2qirsue
Analysis of wind energy time series with kernel methods and neural networks
2011
2011 Seventh International Conference on Natural Computation
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The corresponding experiments are based on real data of wind energy time series from the NREL western wind resource dataset. ...
Wind energy has an important part to play as renewable energy resource in a sustainable world. For a reliable integration of wind energy the volatile nature of wind has to be understood. ...
Similar to the single wind grid point case the model is close to the original time series. ...
doi:10.1109/icnc.2011.6022597
dblp:conf/icnc/KramerG11
fatcat:f67hkphzabh5dko3lgxqcc4jgi
FESM: An Analytical Framework for Elastic Similarity Measures Based Time Series Pattern Recognition
2016
International Journal of Computer Applications
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On this issue, in this paper an analytical framework for elastic similarity measures based time series pattern recognition as, FESM for short, is proposed. ...
Compare the similarity of time series is a key for most tasks and there are various similarity measures which measure the similarity of time series. ...
On the issue of elastic similarity measure, in this paper an analytical framework for elastic similarity measure based time series pattern recognition as, FESM for short, is proposed. ...
doi:10.5120/ijca2016911399
fatcat:7j4jbxclzbdkvnj3uqgs2pojdq
Accelerating the dynamic time warping distance measure using logarithmetic arithmetic
2014
2014 48th Asilomar Conference on Signals, Systems and Computers
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This paper describes an application-specific embedded processor with instruction set extensions (ISEs) for the Dynamic Time Warping (DTW) distance measure, which is widely used in time series similarity ...
The ISEs in this paper are implemented using a form of logarithmic arithmetic that offers significant performance and power/energy advantages compared to more traditional floating-point operations. ...
CONCLUSION This paper has shown that hardware accelerators for the dynamic time warping distance measure for time series similarity search perform better and consume less area and energy under logarithmic ...
doi:10.1109/acssc.2014.7094472
dblp:conf/acssc/TarangoKB14
fatcat:e4oc6u4ltnhgtkzfcjhqwmuree
The influence of molecular structure on strong field energy coupling and partitioning
2001
Chemical Physics
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For this series, the amount of energy coupled increases with molecular size. ...
The measurements suggest that energy deposition into polyatomic molecules occurs by interaction of the laser ®eld with the molecular structure as a whole and not as a result of an interaction of the laser ...
Similar kinetic energies have been obtained in the retarding ®eld measurement of the C ions for all four molecules. ...
doi:10.1016/s0301-0104(01)00218-x
fatcat:csoaa2q5svegzkegkupxxzzodi
Data-Driven Copy-Paste Imputation for Energy Time Series
2021
IEEE Transactions on Smart Grid
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However, existing imputation methods are designed for power time series and do not take into account the total energy of gaps, resulting in jumps or constant shifts when imputing energy time series. ...
The CPI method copies data blocks with similar characteristics and pastes them into gaps of the time series while preserving the total energy of each gap. ...
It uses an energy time series as input and copies blocks of data with similar characteristics into gaps. ...
doi:10.1109/tsg.2021.3101831
fatcat:kkxkwwaxmvhyriwwbrqp6oudi4
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