Forecasting uncertainty in electricity smart meter data by boosting additive quantile regression
Smart electricity meters are currently deployed in millions of households to collect detailed
individual electricity consumption data. Compared with traditional electricity data based on …
individual electricity consumption data. Compared with traditional electricity data based on …
A sparse linear model and significance test for individual consumption prediction
Accurate prediction of user consumption is a key part not only in understanding consumer
flexibility and behavior patterns, but in the design of robust and efficient energy saving …
flexibility and behavior patterns, but in the design of robust and efficient energy saving …
Distribution system topology detection using consumer load and line flow measurements
RA Sevlian, R Rajagopal - arXiv preprint arXiv:1503.07224, 2015 - arxiv.org
This work presents a topology detection method combining home smart meter information
and sparse line flow measurements. The problem is formulated as a spanning tree detection …
and sparse line flow measurements. The problem is formulated as a spanning tree detection …
[PDF][PDF] Feeder topology identification
R Sevlian, R Rajagopal - arXiv preprint arXiv:1503.07224, 2015 - researchgate.net
Advanced control of distributed energy resources at the consumer level requires full
situational awareness of the the distribution system. One important problem is that of feeder …
situational awareness of the the distribution system. One important problem is that of feeder …
[PDF][PDF] Probabilistic time series forecasting with boosted additive models: an application to smart meter data
SB Taieb, R Huser, RJ Hyndman… - Department of Economics …, 2015 - monash.edu
A large body of the forecasting literature so far has been focused on forecasting the
conditional mean of future observations. However, there is an increasing need for …
conditional mean of future observations. However, there is an increasing need for …
Autoregressive model for individual consumption data-Sparsity recovery and significance test
Understanding consumer flexibility and behavior patterns is becoming increasingly vital to
the design of robust and efficient energy saving programs. Accurate prediction of …
the design of robust and efficient energy saving programs. Accurate prediction of …