Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
EMBED (Energy Monitoring through Building Electricity Disaggregation) is a dataset for research and benchmarking in building electricity disaggregation, rather than an online course in the usual sense. The page provides electricity consumption data from three apartments in Los Angeles, California, with collection periods of 14 days, 21 days, and 27 days respectively. It also includes resources such as aggregate power files, labeled appliance event timestamps, and plug-load consumption data.
From an education/course perspective, EMBED is better suited as research-oriented teaching material or an experimental data source. Its subject areas focus on energy monitoring, building electricity disaggregation, and non-intrusive load monitoring. The page does not provide live classes, recorded lectures, or 1-on-1 instruction, nor does it mention certificates, assignments, learning paths, or teaching language. The technical data is relatively complete: both current and voltage are sampled at 12kHz, power resolution is 60Hz, plug-load sampling rate is 1-2Hz, and the dataset includes real power P, reactive power Q, and harmonic content up to the 9th harmonic. These specifications are practically useful for algorithm training, event detection, and model evaluation.
The page lists multiple downloadable files, including power files for the three apartments, ground truth plug load consumption, labeled event timestamps, and label description files. No pricing is mentioned in the main text, so based on how the page presents the resources, they appear to be openly downloadable. Note that each power file is roughly 2.3GB to 3.5GB, making the overall dataset fairly large and requiring adequate bandwidth and local storage.
The advantages are fine-grained data sampling, inclusion of real load data and event annotations, and an ACM e-Energy 2018 paper as background reference, making it suitable for academic reproduction and cross-dataset comparison. The drawbacks are also clear: it covers only three apartments, so the sample size is limited; the page provides no course explanations, lab guidance, or Q&A support; and the main text does not specify the license, update frequency, or restrictions on data use.
EMBED is suitable for researchers, graduate students, or course instructors working on energy systems, smart buildings, or machine-learning-based load identification as an experimental dataset. It is not suitable for general learners who want a structured course and a certificate. The main text provides no information about access from China, so actual download speed and direct connectivity are unknown; payment is not relevant. If alternatives are needed, it can be compared with public electricity consumption datasets such as REDD, UK-DALE, REFIT, and AMPds.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on embed-dataset.org official site.
embed-dataset.org is an Unknown Education provider. TG4G tracks its product information, an overall rating of 6.0/10, and a China-accessibility score of China direct-connect friendly. Click "Visit Official Site" to reach embed-dataset.org directly.