Power disaggregation of combined HVAC loads using supervised machine learning algorithms
Power disaggregation algorithms are used to decompose building level power consumption
data into individual equipment level power information. In order to ensure energy efficient …
data into individual equipment level power information. In order to ensure energy efficient …
[HTML][HTML] A deep generative model for selecting representative periods in renewable energy-integrated power systems
The extensive integration of renewable energies into power systems has led to a
challenging and computationally demanding scenario for the system planning. This is due to …
challenging and computationally demanding scenario for the system planning. This is due to …
An effective electrical load disaggregation approach for low-sampled smart meter data
Smart meters deployment plays an important role in electric utilities' digital transformation.
Though smart meters were employed for remote and efficient billing, smart meter data could …
Though smart meters were employed for remote and efficient billing, smart meter data could …
Multi-label auto-encoder based electrical load disaggregation
Load Disaggregation has gained much popularity in the recent times, owing to the
advantages it brings to energy utility companies. Many modeling techniques ranging from …
advantages it brings to energy utility companies. Many modeling techniques ranging from …
Electrical Load Disaggregation and Demand Response in Commercial Buildings
I Rahman - 2020 - vtechworks.lib.vt.edu
Electrical power systems consist of a large number of power generators connected to
consumers through a complex system of transmission and distribution lines. Within the …
consumers through a complex system of transmission and distribution lines. Within the …