Keyword Connections

energy disaggregation

Journals

1

1 Sensors (Basel, Switzerland)

Research Groups

0

No Research Group Connected

Bibliographies

25

1 Residential Consumer-Centric Demand-Side Management Based on Energy Disaggregation-Piloting Constrained Swarm Intelligence: Towards Edge Computing.

2 An IoT-Based Gamified Approach for Reducing Occupants’ Energy Wastage in Public Buildings

3 Multi-State Energy Classifier to Evaluate the Performance of the NILM Algorithm

4 Energy Disaggregation via Deep Temporal Dictionary Learning.

5 An efficient supervised energy disaggregation scheme for power service in smart grid

6 A low rate energy disaggregation using non-intrusive load monitoring

7 Online end-use energy disaggregation via jump linear models

8 Structured dictionary learning for energy disaggregation

9 Statistical and electrical features evaluation for electrical appliances energy disaggregation

10 Transferability of Neural Network Approaches for Low-rate Energy Disaggregation

11 Different sampling rates on neural NILM energy disaggregation

12 New design of a supervised energy disaggregation model based on the deep neural network for a smart grid

13 Energy Disaggregation using Piecewise Affine Regression and Binary Quadratic Programming

14 Energy disaggregation based on smart metering data via semi-binary nonnegative matrix factorization

15 Multi-channel recurrent convolutional neural networks for energy disaggregation

16 Energy disaggregation via data mining

17 Multi-scale residual network for energy disaggregation

18 Data requirements for applying machine learning to energy disaggregation

19 A benchmark framework to evaluate energy disaggregation solutions

20 Analysis Co-Sparse Coding for Energy Disaggregation

21 An Empirical Study of Ladder Network and Multitask Learning on Energy Disaggregation in Taiwan

22 A Factorial Hidden Markov Model for Energy Disaggregation based on Human Behavior Analysis

23 Energy disaggregation based deep learning techniques: A pre-processing stage to enhance the household load forecasting

24 Energy disaggregation of overlapping home appliances consumptions using a cluster splitting approach

25 Deep Neural Network Based Energy Disaggregation