[HTML][HTML] Recent advances in data mining and machine learning for enhanced building energy management
Due to the recent advancements in the Internet of Things and data science techniques, a
wide range of studies have investigated the use of data mining (DM) and machine learning …
wide range of studies have investigated the use of data mining (DM) and machine learning …
[HTML][HTML] A taxonomy of machine learning applications for virtual power plants and home/building energy management systems
A Virtual power plant is defined as an information and communications technology system
with the following primary functionalities: enhancing renewable power generation …
with the following primary functionalities: enhancing renewable power generation …
[HTML][HTML] Modeling and forecasting electricity consumption amid the COVID-19 pandemic: Machine learning vs. nonlinear econometric time series models
Accurately modeling and forecasting electricity consumption remains a challenging task due
to the large number of the statistical properties that characterize this time series such as …
to the large number of the statistical properties that characterize this time series such as …
Knowledge graph based trajectory outlier detection in sustainable smart cities
Graph-based intelligent systems are emerging in the field of transportation systems.
Knowledge graphs help to provide semantic and interconnectivity capabilities to the …
Knowledge graphs help to provide semantic and interconnectivity capabilities to the …
Machine learning based demand response scheme for IoT enabled PV integrated smart building
The short-term forecasting of electric power consumption and renewable energy generation
with high efficiency and advanced demand side management is essential for improving the …
with high efficiency and advanced demand side management is essential for improving the …
Model-Free HVAC Control in Buildings: A Review
The efficient control of HVAC devices in building structures is mandatory for achieving
energy savings and comfort. To balance these objectives efficiently, it is essential to …
energy savings and comfort. To balance these objectives efficiently, it is essential to …
A novel hybrid Harris hawk optimization and sine cosine algorithm based home energy management system for residential buildings
Smart grid technology has given users the ability to regulate their home energy in a much
more effective manner. In such scenarios, Home Energy Management (HEM) potentially …
more effective manner. In such scenarios, Home Energy Management (HEM) potentially …
Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network
Smart home energy management systems help the distribution grid operate more efficiently
and reliably, and enable effective penetration of distributed renewable energy sources …
and reliably, and enable effective penetration of distributed renewable energy sources …
Rough knowledge enhanced dueling deep Q-network for household integrated demand response optimization
Implementing a household integrated demand response (HIDR) can be an effective solution
to save energy and reduce carbon emissions in household multi-energy system (HMES) …
to save energy and reduce carbon emissions in household multi-energy system (HMES) …
Safe reinforcement learning method integrating process knowledge for real-time scheduling of gas supply network
Gas supply networks play a crucial role in steel enterprises because they provide
downstream customers with the gas required for production. In this paper, the real-time …
downstream customers with the gas required for production. In this paper, the real-time …