End-user comfort oriented day-ahead planning for responsive residential HVAC demand aggregation considering weather forecasts
There is a remarkable potential for implementing demand response (DR) strategies for
several purposes, such as peak load reduction, frequency regulation, etc., by using …
several purposes, such as peak load reduction, frequency regulation, etc., by using …
Q-Learning-Based Model Predictive Control for Energy Management in Residential Aggregator
K Ojand, H Dagdougui - IEEE Transactions on Automation …, 2021 - ieeexplore.ieee.org
This article presents a demand response scheduling model in a residential community using
an energy management system aggregator. The aggregator manages a set of resources …
an energy management system aggregator. The aggregator manages a set of resources …
Model-based and data-driven HVAC control strategies for residential demand response
The implementations of residential demand response (DR) based on heating, ventilation,
and air conditioning (HVAC) are inseparable from effective control algorithms for …
and air conditioning (HVAC) are inseparable from effective control algorithms for …
Commercial demand response programs in bidding of a technical virtual power plant
N Pourghaderi, M Fotuhi-Firuzabad… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Regarding the potentials of activating commercial consumers in demand response
programs, this paper proposes a new framework for energy scheduling of an active …
programs, this paper proposes a new framework for energy scheduling of an active …
A heuristic-based smart HVAC energy management scheme for university buildings
Energy management in commercial buildings is a challenging task due to their specific set of
requirements. One such building that has not been fully investigated in the literature to …
requirements. One such building that has not been fully investigated in the literature to …
Fuzzy neural network-based health monitoring for HVAC system variable-air-volume unit
WH Allen, A Rubaai, R Chawla - IEEE Transactions on Industry …, 2015 - ieeexplore.ieee.org
For indoor smart grids, the proper operation of building environmental systems is essential
to energy efficiency, so automatic detection and classification of abnormal conditions are …
to energy efficiency, so automatic detection and classification of abnormal conditions are …
Multi-time-scale modeling and parameter estimation of TCLs for smoothing out wind power generation variability
Thermostatically controlled loads (TCLs) have demonstrated their potentials in demand
response. One of the key challenges for TCLs to be integrated into the system-level …
response. One of the key challenges for TCLs to be integrated into the system-level …
Blockchain-driven real-time incentive approach for energy management system
In the current era, the skyrocketing demand for energy necessitates a powerful mechanism
to mitigate the supply–demand gap in intelligent energy infrastructure, ie, the smart grid. To …
to mitigate the supply–demand gap in intelligent energy infrastructure, ie, the smart grid. To …
Novel incentive mechanism for end-users enrolled in DLC-based demand response programs within stochastic planning context
In this paper, a novel direct load control (DLC) planning based on providing free energy
credits to residential end-users for their heating, ventilation, and air conditioning load during …
credits to residential end-users for their heating, ventilation, and air conditioning load during …
Controlling Air Conditioners for Frequency Regulation: A Real-World Example
IM Granitsas, OE Oyefeso, GS Ledva… - … on Smart Grid, 2024 - ieeexplore.ieee.org
Even though thermostatically controlled loads like air conditioners present a great potential
for providing ancillary services to the electric power grid, the practical challenges associated …
for providing ancillary services to the electric power grid, the practical challenges associated …