Towards trustworthy energy disaggregation: A review of challenges, methods, and perspectives for non-intrusive load monitoring
Non-intrusive load monitoring (NILM) is the task of disaggregating the total power
consumption into its individual sub-components. Over the years, signal processing and …
consumption into its individual sub-components. Over the years, signal processing and …
A review of current methods and challenges of advanced deep learning-based non-intrusive load monitoring (NILM) in residential context
The rising demand for energy conservation in residential buildings has increased interest in
load monitoring techniques by exploiting energy consumption data. In recent years …
load monitoring techniques by exploiting energy consumption data. In recent years …
[HTML][HTML] Fault and anomaly detection in district heating substations: A survey on methodology and data sets
M Neumayer, D Stecher, S Grimm, A Maier, D Bücker… - Energy, 2023 - Elsevier
District heating systems are essential building blocks for affordable, low-carbon heat supply.
Early detection and elimination of faults is crucial for the efficiency of these systems and …
Early detection and elimination of faults is crucial for the efficiency of these systems and …
ECD-UY, detailed household electricity consumption dataset of Uruguay
J Chavat, S Nesmachnow, J Graneri, G Alvez - Scientific Data, 2022 - nature.com
This article introduces a dataset containing electricity consumption records of residential
households in Uruguay (mostly in Montevideo). The dataset is conceived to analyze …
households in Uruguay (mostly in Montevideo). The dataset is conceived to analyze …
Optimizing scheduling policy in smart grids using probabilistic Delayed Double Deep Q-Learning (P3DQL) algorithm
High penetration of smart devices in IoE-enabled smart grids besides decentralization
originated from employing renewable resources face the power system with intricate …
originated from employing renewable resources face the power system with intricate …
Occupant behavior, thermal environment, and appliance electricity use of a single-family apartment in china
C Wang, X Li, W Sun, J An, S Gao - Scientific Data, 2024 - nature.com
The household is the basic unit of a residential community or building. High-resolution, long-
term open data are necessary to help study residential electricity consumption, smart home …
term open data are necessary to help study residential electricity consumption, smart home …
GA-BiLSTM: an intelligent energy prediction and optimization approach for individual home appliances
S Kaur, A Bala, A Parashar - Evolving Systems, 2024 - Springer
Energy consumption of residential buildings is rising rapidly with population growth and
increased utilization of electrical appliances. So far, accurate energy forecasting is an …
increased utilization of electrical appliances. So far, accurate energy forecasting is an …
Energy-consumption pattern-detecting technique for household appliances for smart home platform
Rising electricity prices and the greater penetration of electricity consumption in end-uses
have prompted efforts to set up data-driven methodologies to optimise energy consumption …
have prompted efforts to set up data-driven methodologies to optimise energy consumption …
CLEMD, a circuit-level electrical measurements dataset for electrical energy management
Enhancing energy efficiency in commercial buildings is crucial for reducing energy
consumption. Achieving this goal requires careful monitoring and analysis of the energy …
consumption. Achieving this goal requires careful monitoring and analysis of the energy …
[HTML][HTML] Raising user awareness through unsupervised clustering of energy consumption habits
Climate change mitigation requires the urgent reduction of Greenhouse Gas (GHG)
emissions, with the building sector as a significant contributor. This study develops a system …
emissions, with the building sector as a significant contributor. This study develops a system …