Towards Energy Smart Homes
Algorithms, Technologies, and Applications
Page
%P
5 Result(s)
within
Manar Amayri
User Interfaces and Human Computer Interaction
-
Article
Non intrusive load monitoring using additive time series modeling via finite mixture models aggregation
Energy disaggregation, or Non-Intrusive Load Monitoring (NILM), involves different methods aiming to distinguish the individual contribution of appliances, given the aggregated power signal. In this paper, the...
-
Article
Occupancy estimation in smart buildings using predictive modeling in imbalanced domains
This paper introduces a novel approach for occupancy estimation in smart buildings. In particular, we focus on the challenging yet common situation where the amount of training data is small and imbalanced (i....
-
Chapter
Machine Learning for Activity Recognition in Smart Buildings: A Survey
Machine learning and data mining techniques have been widely used recently in several smart buildings applications. This is mainly due to the huge amount of data generated continuously by the smart sensors and...
-
Book
-
Chapter
Characterization of Energy Demand and Energy Services Using Model-Based and Data-Driven Approaches
This chapter describes the state-of-the-art methods to forecast energy consumption and energy services in residential buildings. The review spans from model-based approaches—like building thermal simulation to...
