High resolution synthetic residential energy use profiles for the United States
Efficient energy consumption is crucial for achieving sustainable energy goals in the era of
climate change and grid modernization. Thus, it is vital to understand how energy is …
climate change and grid modernization. Thus, it is vital to understand how energy is …
An electricity smart meter dataset of Spanish households: insights into consumption patterns
Smart meters are devices that provide detailed information about the energy consumed by
specific electricity supply points, such as homes, offices, and businesses. Data from smart …
specific electricity supply points, such as homes, offices, and businesses. Data from smart …
FIKElectricity: A Electricity Consumption Dataset from Three Restaurant Kitchens in Portugal
Industrial Kitchens are very energy-intensive businesses, consuming between five and
seven times more energy per square meter than other commercial spaces like office spaces …
seven times more energy per square meter than other commercial spaces like office spaces …
Flexible Loads Scheduling Algorithms for Renewable Energy Communities
Renewable Energy Communities (RECs) are emerging as an effective concept and model to
empower the active participation of citizens in the energy transition, not only as energy …
empower the active participation of citizens in the energy transition, not only as energy …
A synthetic dataset of Danish residential electricity prosumers
Conventional residential electricity consumers are becoming prosumers who not only
consume electricity but also produce it. This shift is expected to occur over the next few …
consume electricity but also produce it. This shift is expected to occur over the next few …
the Plegma dataset: Domestic appliance-level and aggregate electricity demand with metadata from Greece
The growing availability of smart meter data has facilitated the development of energy-
saving services like demand response, personalized energy feedback, and non-intrusive …
saving services like demand response, personalized energy feedback, and non-intrusive …
PROCSIM: an open-source simulator to generate energy community power demand and generation scenarios
Reducing our carbon footprint is one of the biggest challenges facing humanity in the current
millennium. In the last few years, researchers have focused their attention on balancing the …
millennium. In the last few years, researchers have focused their attention on balancing the …
An Approach to NILM using image-based features and transfer learning
In this contribution we investigate possibilities of using neural network classification methods
for Non-Intrusive Load Monitoring (NILM) methods using VI diagrams. For analysis we chose …
for Non-Intrusive Load Monitoring (NILM) methods using VI diagrams. For analysis we chose …
IDSEM, an invoices database of the Spanish electricity market
This article describes a new database of electricity bills related to energy consumption in
Spanish households. The dataset includes individual invoices containing information about …
Spanish households. The dataset includes individual invoices containing information about …
Towards data-driven electricity management: multi-region uniform data and knowledge graph
Due to growing population and technological advances, global electricity consumption is
increasing. Although CO2 emissions are projected to plateau or slightly decrease by 2025 …
increasing. Although CO2 emissions are projected to plateau or slightly decrease by 2025 …