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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Energy feature extraction" (30 stories)

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Energy feature extraction and visualization of voltage sags using wavelet packet analysis for enhanced power quality monitoring
Lead StoryNaturegeneral
Jan 17, 2025

Energy feature extraction and visualization of voltage sags using wavelet packet analysis for enhanced power quality monitoring

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBOaVBkdm56SUlzOFVZSEVWM1RzT3I0LU9LaHR0TmZUZTE0amh0eXlVTWsyUVhFUEU2OS1uampBcnZxZl9jeWlOWVhnc09QV0Y4MFo2YjV0T2Vfc1ZrMTkw?oc=5" target="_blank">Energy feature extraction and visualization of voltage sags using wavelet packet analysis for enhanced power quality monitoring</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Energy feature extraction"

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29 stories displayed
Hybrid convolutional neural network yields energy-efficient approach with analog first layer
AIP.ORGgeneral

Hybrid convolutional neural network yields energy-efficient approach with analog first layer

<a href="https://news.google.com/rss/articles/CBMivwFBVV95cUxNUlJ6VVdqVnNGUElpQVI5djdQX1BnTmRlR0FaY3hITldHamdudFNLM3p0WXBGbTJkdDBaMlBqNURxZVExNm94NzZaVW5xRVlFUGpBWHhKVjZ5Z1Boa3pvcTFGUzRlRVFuMzJSaEVvNUZnT2tuSk9vUzRjTnJkNEdjVmhVQ2UzUEwwNkk1bkZyRk1TbHN4eWRnbERpVG15ZTdOYngwYVBMV1VhMnRiVVhJMlpLY0VBLXV6Y3NyekVfZw?oc=5" target="_blank">Hybrid convolutional neural network yields energy-efficient approach with analog first layer</a>  <font color="#6f6f6f">AIP.ORG</font>

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United States on track for record natural gas production in 2026
U.S. Energy Information Administration (EIA) (.gov)world

United States on track for record natural gas production in 2026

<a href="https://news.google.com/rss/articles/CBMiY0FVX3lxTE9NT0l1eDNKN3VFN0JCc1cxZXZYdW1hVk9BeTdYWUpzSDk3eU81X3lIOGdySVJtNGhVNWlFcHhxU1cxVUY3Y3NqV2VsYTJUNkJ4RXp0T3FoWnEyRlVUb19WeXpzMA?oc=5" target="_blank">United States on track for record natural gas production in 2026</a>  <font color="#6f6f6f">U.S. Energy Information Administration (EIA) (.gov)</font>

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A hybrid optimal feature selection and Conv-LSTM model (OFSCL) for short-term energy demand forecasting in distribution substations of Ahvaz, Iran
Naturepolitics

A hybrid optimal feature selection and Conv-LSTM model (OFSCL) for short-term energy demand forecasting in distribution substations of Ahvaz, Iran

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE56UWZFU3hJV01HVG83V3AxVGpFeVQ2ZXVFMzRRWFUtUU81MVBoeUtWeGQ0azhfUmpiand1bEpISmtDakNWZzZqWS1jS1JDVjNWUF9IT3QzdHBwX2VZVG53?oc=5" target="_blank">A hybrid optimal feature selection and Conv-LSTM model (OFSCL) for short-term energy demand forecasting in distribution substations of Ahvaz, Iran</a>  <font color="#6f6f6f">Nature</font>

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Optimized matching feature extraction method for bearing fault diagnosis
Frontiersgeneral

Optimized matching feature extraction method for bearing fault diagnosis

<a href="https://news.google.com/rss/articles/CBMijAFBVV95cUxQTTBJdFFHSmJNZ3dXVmlJZ2FpUHJRTXItM25Ja3R4YWJnX2hvQTQtZ0NBS0RDV1RBMTZlaHNIQjhPeW9oSHVMOHVwSWpwam50czFFZ1hVZUN2TExWaUo5YVpqLU55STI2MkZOWThIWWg1Q21XUTRTRWtUTUZac2dnYXpFWUtvYmctZG1xag?oc=5" target="_blank">Optimized matching feature extraction method for bearing fault diagnosis</a>  <font color="#6f6f6f">Frontiers</font>

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BEmXRD-Nets framework for novel machine learning models to predict crystal energy with diversity structures
Naturegeneral

BEmXRD-Nets framework for novel machine learning models to predict crystal energy with diversity structures

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE16RzhFOTVtVGpQd1ZJMjJFMXBtTlVpdzhtY2EwTkpTd2paV3g0RjRhTTZqMjRYdGtrZFpUQWxFNkxhaXU3U3AwT214c0lzbmZvVGtkbDZpM29qUThZTTlR?oc=5" target="_blank">BEmXRD-Nets framework for novel machine learning models to predict crystal energy with diversity structures</a>  <font color="#6f6f6f">Nature</font>

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A two-stage deep learning framework for early-stage lifetime prediction for lithium-ion batteries with consideration of features from multiple cycles
Frontiersgeneral

A two-stage deep learning framework for early-stage lifetime prediction for lithium-ion batteries with consideration of features from multiple cycles

<a href="https://news.google.com/rss/articles/CBMimAFBVV95cUxOcThBVWtiaVJxeEJuQUI2MlB5cnpxVUp0RVVidDRMRjQ5M2QwQ3NyaGFTT0djeEhXb0xJTUpHMEV4ejN0NkY2YTk1WTQtYVdNdmZfTXBzZEd2VGo2d2pTRFQyQ1ZXdG1iQ2hlMjBDTkJ4ZzVtNmxqRDZ5dHNpQnRLRWYyNmFKVnl2el9YVUxONHhEaXFnTkR6WA?oc=5" target="_blank">A two-stage deep learning framework for early-stage lifetime prediction for lithium-ion batteries with consideration of features from multiple cycles</a>  <font color="#6f6f6f">Frontiers</font>

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Power quality disturbance identification using hybrid deep learning in renewable energy systems
Naturegeneral

Power quality disturbance identification using hybrid deep learning in renewable energy systems

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9obWJRRHN5dDd5QkVlWmswcnZrOWc5X0hCUnRZWkg0VGcxZGFsRnZ0QVU0Z2E5YW1MMVQ3Tmx3dU5WZ21OcGNvWkdiaXhSVEdYd0FlelJlTE9fdHF2UTJv?oc=5" target="_blank">Power quality disturbance identification using hybrid deep learning in renewable energy systems</a>  <font color="#6f6f6f">Nature</font>

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SD-YOLO: a lightweight model for small target defect detection in complex environments of lithium batteries in new energy vehicles
Naturegeneral

SD-YOLO: a lightweight model for small target defect detection in complex environments of lithium batteries in new energy vehicles

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBTMjZTcXpRWFp6NE9VUGNIU0hWTXVUZFpHTE5pUlJIMU1TaldYNEZBRFhmWWx1aUpzZ1UtS0FlNThxdmM2amU2aUg2dWM2WWhGU1lmbVhqbk8yanVGREkw?oc=5" target="_blank">SD-YOLO: a lightweight model for small target defect detection in complex environments of lithium batteries in new energy vehicles</a>  <font color="#6f6f6f">Nature</font>

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Energy consumption prediction in buildings using LSTM and SVR modified by developed Henry gas solubility optimization
Naturegeneral

Energy consumption prediction in buildings using LSTM and SVR modified by developed Henry gas solubility optimization

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1nRGRQQVBoclhWcGlIYzlsZ2hXb1JGZ1NJOENUSlpiRnBxX20zajBLQzBuV0dxTk1HQk1KcnhYUnIyMnZabEJqV1V5U01JTzllX0hQZndTaXAyeC1HaGVV?oc=5" target="_blank">Energy consumption prediction in buildings using LSTM and SVR modified by developed Henry gas solubility optimization</a>  <font color="#6f6f6f">Nature</font>

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Legendre polynomial transformation and energy-weighted random forests for sequential data classification
Naturegeneral

Legendre polynomial transformation and energy-weighted random forests for sequential data classification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE54eDUySTdFbUgtTlBtMW5mbEhFZ1hvS1hQdHBhdy1OMzBidFMyckRIODd6QWlaelZ5WE5adVFmUjdOX3hyU0tWaVVRUmt2Q1VQOHktNld2dHZrWjJ2YTlF?oc=5" target="_blank">Legendre polynomial transformation and energy-weighted random forests for sequential data classification</a>  <font color="#6f6f6f">Nature</font>

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Interpretable deep learning for personalized energy expenditure prediction using ECG and acceleration signals in incremental exercise
Naturegeneral

Interpretable deep learning for personalized energy expenditure prediction using ECG and acceleration signals in incremental exercise

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1mNmQ5MkxmN2VYU2E5Y3ZObzVFM0NhVi1EbmF2X3RMRFpSVzZZLUVHTHBNU2diWE9HdUszVTVscVNIdWtQQ2lRdjM2eC1Nek1iVVhMS1kydWQwbTNCUHpr?oc=5" target="_blank">Interpretable deep learning for personalized energy expenditure prediction using ECG and acceleration signals in incremental exercise</a>  <font color="#6f6f6f">Nature</font>

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Efficient machine learning of solute segregation energy based on physics-informed features
Naturegeneral

Efficient machine learning of solute segregation energy based on physics-informed features

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9hb0xESUx6ZHkxdW50c2I1LVV0QTdoeUZSbk1CTmdhTVg1bXI2WkdvZ2JYVUhLeUhWY3BpV3huRENWN2hMN0R2V01uN3pYUUdTT0NaY1JZMFNUVWJqYm5v?oc=5" target="_blank">Efficient machine learning of solute segregation energy based on physics-informed features</a>  <font color="#6f6f6f">Nature</font>

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Graph deep learning accelerated efficient crystal structure search and feature extraction | npj Computational Materials
Naturegeneral

Graph deep learning accelerated efficient crystal structure search and feature extraction | npj Computational Materials

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE51SjFXaWFGZHlnZEdycXFtUUNkemJ4bFFwLW9maXVTdFhqTm02YnlBbU90LUZnc2xGRDJkdGdtYkhlWGM4eVN0RVk2bGZKZFBIU19EZGs5MzFmcjdqMlBN?oc=5" target="_blank">Graph deep learning accelerated efficient crystal structure search and feature extraction | npj Computational Materials</a>  <font color="#6f6f6f">Nature</font>

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Research on few-shot fault diagnosis and feature extraction mechanism based on ADPCW-ELCNN
Naturegeneral

Research on few-shot fault diagnosis and feature extraction mechanism based on ADPCW-ELCNN

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9ELWNDWk4wbmFudUFYSmhFaXFLSlYzd25mT2tjRmJYUjc3N21aLTA3VW41Q05IN25vZmNkQ0FKQm11Z19KQVM3YlFfSjRTOWZjbDl5aUYzY1ViS2ktcWlv?oc=5" target="_blank">Research on few-shot fault diagnosis and feature extraction mechanism based on ADPCW-ELCNN</a>  <font color="#6f6f6f">Nature</font>

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Energy consumption analysis and prediction in exercise training based on accelerometer sensors and deep learning
Naturetech

Energy consumption analysis and prediction in exercise training based on accelerometer sensors and deep learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0zZDVncXVRZkZkQXR4aVlfd1QteDlXVGdJd2VIRWdXSVlKQWlMU2hjMVR6ckJmbHJFaVVTUlJQV05zVy1kX3YxVURLZ0lHS250VV8wRmIyZXBLUXM1WUpv?oc=5" target="_blank">Energy consumption analysis and prediction in exercise training based on accelerometer sensors and deep learning</a>  <font color="#6f6f6f">Nature</font>

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An improved feature extraction algorithm for EEG-based driving fatigue recognition
Naturegeneral

An improved feature extraction algorithm for EEG-based driving fatigue recognition

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB3TnFIYjBrMXBUcG0wMk9oUU52NkpjMkc2RDloaG0wR2daZno0Zk5rbHlDUEV1dDBHaHAweF9KbGRmQk01RHRJYjdJbW1VV0lSRm1mTXp5NFhNM0tEaHJV?oc=5" target="_blank">An improved feature extraction algorithm for EEG-based driving fatigue recognition</a>  <font color="#6f6f6f">Nature</font>

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Predicting EV battery state of health using long short term degradation feature extraction and FEA TimeMixer
Naturescience

Predicting EV battery state of health using long short term degradation feature extraction and FEA TimeMixer

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9JMG9HeDZXSXQ2eGJuSUFWSnhaYTJaTGszSVRxaWhDVTM4VzlZNUdSTFdEYmh5d1hEVHhBODJXUDZGUDdrY2JKeGxjeVhIY0xDRkwtSzNCQzZTcExMeWRJ?oc=5" target="_blank">Predicting EV battery state of health using long short term degradation feature extraction and FEA TimeMixer</a>  <font color="#6f6f6f">Nature</font>

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Short-term multi-energy consumption forecasting for integrated energy system based on interactive multi-scale convolutional module
Naturegeneral

Short-term multi-energy consumption forecasting for integrated energy system based on interactive multi-scale convolutional module

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5PVFlCOVljSzRhazJ2QVNleGFVcXZ2ZW5fVVRRMzQxSkVVc1BSX1BLSlM5S3FYTThuOWdudVdNd1dWQlhWaWY1ODRhR3Z6U0ZnaVNMb0FibW1qdmNnQ1pV?oc=5" target="_blank">Short-term multi-energy consumption forecasting for integrated energy system based on interactive multi-scale convolutional module</a>  <font color="#6f6f6f">Nature</font>

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Exploring vision transformers for deep feature extraction and classification in video genre recognition for digital media
Naturegeneral

Exploring vision transformers for deep feature extraction and classification in video genre recognition for digital media

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBsSVZKNnBabm1UdVBSVmpia3RPcHFsY2N1WXdYWjl6Vm5tSmhfaDY1a3V0ZW9URGx4aHRKaTRjeDdJVXE4Zk1IQnVfZVhvbDJNWTVQM2FiV3NTaU1kN0pB?oc=5" target="_blank">Exploring vision transformers for deep feature extraction and classification in video genre recognition for digital media</a>  <font color="#6f6f6f">Nature</font>

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China dominates global trade of battery minerals
U.S. Energy Information Administration (EIA) (.gov)world

China dominates global trade of battery minerals

<a href="https://news.google.com/rss/articles/CBMiY0FVX3lxTE9MWmt1dExteGRsOHNuZlpORFlTbmI5TDVmX0tVb0p5QjA3WDkwSkhsYlJQalhXSzNFS3ZLX01aVFBfdU5jYl9sX2VGYTNEM1lwcmhfRkg2SG5GWExyUDh3eC1jbw?oc=5" target="_blank">China dominates global trade of battery minerals</a>  <font color="#6f6f6f">U.S. Energy Information Administration (EIA) (.gov)</font>

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Feature extended energy landscape model for interpreting coercivity mechanism
Naturegeneral

Feature extended energy landscape model for interpreting coercivity mechanism

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1LSFJUU2lFelFpRWZFMW1KN1BEb2FvWWQ4MV9NNTE3S1c0YW53RTM1NmtDVUQtX0E1WTBDWDllMDk1YlZlUHdVLW5IenZpTzk1bTVvc2tjQVY1dlZzUlhV?oc=5" target="_blank">Feature extended energy landscape model for interpreting coercivity mechanism</a>  <font color="#6f6f6f">Nature</font>

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Review of multiple load forecasting method for integrated energy system
Frontiersgeneral

Review of multiple load forecasting method for integrated energy system

<a href="https://news.google.com/rss/articles/CBMimAFBVV95cUxOZThuQV9lTlpfc0RYYjdpY2k1M2ZmbnFSbjl4TWpIdDRjeGFTWGJLZzF0NW5DM05DU3JZM0hCU3owY0Y3THV0VkYxMVFuZEJOZm4ycHhnNkhRWEZBd0RmV0plLU9SWWxqZTdRYmhna2JOa2xield3d2xXaGJyUVRvcEUtTnczcEhUTDhMYzhjcUxiWTdacG1PSg?oc=5" target="_blank">Review of multiple load forecasting method for integrated energy system</a>  <font color="#6f6f6f">Frontiers</font>

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Energy consumption prediction of PEVs incorporating traffic flow information
Naturegeneral

Energy consumption prediction of PEVs incorporating traffic flow information

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5hVDVXOGNvWEI4S2xIRE55eWQtWGYxRWRQSC15Rm5xR3cwV041Z3lFVTRtWndTb0dmUkF6d0hsRnNQbWt1YUFiMDJNTER1UjNsbXdjTG5objJwbnVvRUFr?oc=5" target="_blank">Energy consumption prediction of PEVs incorporating traffic flow information</a>  <font color="#6f6f6f">Nature</font>

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Quantifying energy and accuracy trade-offs of federated learning on wearable health devices
Frontiersmarkets

Quantifying energy and accuracy trade-offs of federated learning on wearable health devices

<a href="https://news.google.com/rss/articles/CBMijwFBVV95cUxPUEVSUHIwQ0U3d25wYUlGSGJ6RXlEMC1ybG1wdmFBZTZ0cGZhN01ZRXdTNGlNTG9UVGNsSzRXSFd5QzNUZDNodjc0RVdzRHVxbEhpbW1rQlhCb3lya1pEZ1MyYVFoVUZoRVQzdVJyS0tXSjM0ekZlWEhUOW5wdElmYmE3LUNTemhENnh6VV9uTQ?oc=5" target="_blank">Quantifying energy and accuracy trade-offs of federated learning on wearable health devices</a>  <font color="#6f6f6f">Frontiers</font>

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Power system security and protection considering the integration of new energy power plants
Naturegeneral

Power system security and protection considering the integration of new energy power plants

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9Fd3ppUkZ5U1FYbjRWYzNkVmg3ZTBOSmZKZFk3MWxrQVRmYzl1bWRyR0N3QmIwb1k0MHVXRURNWnRZUjI3RXNIYVVvNG5wYjJsclVJbzRaVm9iWFEwdFIw?oc=5" target="_blank">Power system security and protection considering the integration of new energy power plants</a>  <font color="#6f6f6f">Nature</font>

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Energy efficiency identification and surface roughness prediction using cutting force signal for computer numerical controlled machine systems | Scientific Reports
Naturegeneral

Energy efficiency identification and surface roughness prediction using cutting force signal for computer numerical controlled machine systems | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9WUmlKWkZVVlZibkllcHRpYXFOQTNTRzI5S0tobXBWNUZzSmJyX0g3WG1iR2E4cFdLak5NN0kzZE43SHFNcVJpV1NTMDRBNHc4cTd5Rmk1ZU03S1JDS3hF?oc=5" target="_blank">Energy efficiency identification and surface roughness prediction using cutting force signal for computer numerical controlled machine systems | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Real-time monitoring and optimization methods for user-side energy management based on edge computing
Naturegeneral

Real-time monitoring and optimization methods for user-side energy management based on edge computing

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE03b0Z1S0wxc29Vd2N0OEo4RHJlSVVqOE5qaXpLQUVEbXVuVHU2TlliWjUxWjZMSGE2U1JBM0YyTFVUNnhXdDRZUkVteEZKYlhLQ3d3dFFIODY4dkRUMS00?oc=5" target="_blank">Real-time monitoring and optimization methods for user-side energy management based on edge computing</a>  <font color="#6f6f6f">Nature</font>

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Advancing new energy industry quality via artificial intelligence-driven integration of ESG principles
Naturegeneral

Advancing new energy industry quality via artificial intelligence-driven integration of ESG principles

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5aa3hkcWdHMUg5VFZnaWRUUFZHODZlZTdFNC1JaGlyX0xLSjNiTnk5Rk5oNEJ1UndHelRiMXZpUzkxay1RdHhPV0Y2VWF1UUpCOWtldVd6UnIydDVmUVhv?oc=5" target="_blank">Advancing new energy industry quality via artificial intelligence-driven integration of ESG principles</a>  <font color="#6f6f6f">Nature</font>

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Energy big data abnormal cluster detection method based on redundant convolution codec | Scientific Reports
Natureworld

Energy big data abnormal cluster detection method based on redundant convolution codec | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5ybGFmZTlzcmw5emJ6ZUFsb1pHaUVVaVJvZW4zeUE1VVBmMG1oZUpVaWhRQXRHWXo5Y0lDaWlacTFodFQ4UUpGMEZiTEdaU201dU1ZVV9Qbk1QeUZHY3Mw?oc=5" target="_blank">Energy big data abnormal cluster detection method based on redundant convolution codec | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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"Energy feature extraction" — Live Google News Trends & Headlines