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Residential loads flexibility potential for demand response using energy consumption patterns and user segments
Demand response (DR) is considered an effective approach in mitigating the ever-growing
concerns for supplying the electricity peak demand. Recent attempts have shown that the …
concerns for supplying the electricity peak demand. Recent attempts have shown that the …
A systematic review on demand response role toward sustainable energy in the smart grids-adopted buildings sector
In the so near future, climate change caused by Carbon dioxide (CO 2) emissions as a result
of an increase in energy demand (ED) in the buildings sector becomes really hazard to our …
of an increase in energy demand (ED) in the buildings sector becomes really hazard to our …
A machine learning framework to infer time-of-use of flexible loads: Resident behavior learning for demand response
Load shapes obtained from smart meter data are commonly utilized to understand daily
energy use patterns for adaptive operations in applications such as Demand Response …
energy use patterns for adaptive operations in applications such as Demand Response …
[HTML][HTML] Quantification of demand-supply balancing capacity among prosumers and consumers: community self-sufficiency assessment for energy trading
With the increased adoption of distributed energy resources (DERs) and renewables, such
as solar panels at the building level, consumers turn into prosumers with generation …
as solar panels at the building level, consumers turn into prosumers with generation …
A novel system for providing explicit demand response from domestic natural gas boilers
This paper presents a novel, fully automated system for the implementation of explicit gas
Demand Response in the Gas Balancing Market, with real-time control instructions provided …
Demand Response in the Gas Balancing Market, with real-time control instructions provided …
Data-driven identification of consumers with deferrable loads for demand response programs
Power utilities leverage demand response (DR) events to effectively reduce the peak load at
critical times with excessive power demand. DR programs are generally categorized as …
critical times with excessive power demand. DR programs are generally categorized as …
Investigating the appliance use patterns on the households' electricity load shapes from smart meters
The adoption of smart meters in residential households provides electricity consumption
data with high temporal resolution. Considering the wealth of the generated information …
data with high temporal resolution. Considering the wealth of the generated information …
Proactive Smart Home Assistants for Automation—User Characteristic-Based Preference Prediction with Machine Learning Techniques
ABSTRACT AI-powered smart homes bring high-quality intelligent services to occupants
with digital virtual assistants. Through interactions with occupants, the smart home assistants …
with digital virtual assistants. Through interactions with occupants, the smart home assistants …
Appliance Load Profile Assessment for Automated DR Program in Residential Buildings
The automated demand response (DR) program encourages consumers to participate in
grid operation by reducing power consumption or deferring electricity usage at peak time …
grid operation by reducing power consumption or deferring electricity usage at peak time …
A Dynamic Controller for Residential Energy Management at the Intersection of Occupant Thermal Comfort and Dynamic Electricity Price
ABSTRACT HVAC systems account for 50% of buildings' energy use and could play a
critical role in energy management in buildings both for energy-saving, and demand-side …
critical role in energy management in buildings both for energy-saving, and demand-side …