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MEDAL: A Cost-Effective High-Frequency Energy Data Acquisition System for Electrical Appliances.

, , , and . e-Energy, page 216-221. ACM, (2017)

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Appliance classification across multiple high frequency energy datasets., , , and . SmartGridComm, page 147-152. IEEE, (2017)Training Auto-Encoder-Based Optimizers for Terahertz Image Reconstruction., , , , and . GCPR, volume 11824 of Lecture Notes in Computer Science, page 93-106. Springer, (2019)Representation Learning for Appliance Recognition: A Comparison to Classical Machine Learning., , and . CoRR, (2022)Interpretable deep learning for consistent large-scale urban population estimation using Earth observation data., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2024)A Comprehensive Feature Study for Appliance Recognition on High Frequency Energy Data., , , and . e-Energy, page 121-131. ACM, (2017)Deep Optimization Prior for THz Model Parameter Estimation., , , , , and . WACV, page 4049-4058. IEEE, (2022)Paper millionaires: how valuable is stock to a stockholder who is restricted from selling it?, , and . Journal of Financial Economics, 67 (3): 385--410 (March 2003)MEED: An Unsupervised Multi-Environment Event Detector for Non-Intrusive Load Monitoring., , and . SmartGridComm, page 1-6. IEEE, (2019)CLEAR - A circuit level electric appliance radar for the electric cabinet., , , and . ICIT, page 1130-1135. IEEE, (2017)Earth Observation and Artificial Intelligence: Understanding emerging ethical issues and opportunities, , , , and . (2022)