Progress on the demand side management in smart grid and optimization approaches

E Sarker, P Halder… - … Journal of Energy …, 2021 - Wiley Online Library
The integration of demand side management (DSM) with smart grid (SG) can facilitate
residents' transfer into smart homes and sustainable cities by reducing the carbon emission …

A critical review on the impacts of energy storage systems and demand-side management strategies in the economic operation of renewable-based distribution …

MZ Oskouei, AA Şeker, S Tunçel, E Demirbaş, T Gözel… - Sustainability, 2022 - mdpi.com
Energy storage systems (ESSs) and demand-side management (DSM) strategies have
significant potential in providing flexibility for renewable-based distribution networks …

Deep reinforcement learning for smart home energy management

L Yu, W Xie, D Xie, Y Zou, D Zhang… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
We investigate an energy cost minimization problem for a smart home in the absence of a
building thermal dynamics model with the consideration of a comfortable temperature range …

Real-time energy optimization and scheduling of buildings integrated with renewable microgrid

A Alzahrani, K Sajjad, G Hafeez, S Murawwat, S Khan… - Applied Energy, 2023 - Elsevier
Real-time energy optimization is essential for effective load scheduling, cost reduction,
maintaining demand and supply balance, and ensuring reliable power system operations …

Online energy management for a sustainable smart home with an HVAC load and random occupancy

L Yu, T Jiang, Y Zou - IEEE Transactions on Smart Grid, 2017 - ieeexplore.ieee.org
In this paper, we investigate the problem of minimizing the sum of energy cost and thermal
discomfort cost in a long-term time horizon for a sustainable smart home with a heating …

Real-time scheduling for optimal energy optimization in smart grid integrated with renewable energy sources

FR Albogamy, MYI Paracha, G Hafeez, I Khan… - IEEE …, 2022 - ieeexplore.ieee.org
Load scheduling, battery energy storage control, and improving user comfort are critical
energy optimization problems in smart grid. However, system inputs like renewable energy …

Data mining approach for improving the optimal control of HVAC systems: An event-driven strategy

J Wang, J Hou, J Chen, Q Fu, G Huang - Journal of Building Engineering, 2021 - Elsevier
Heating, ventilation and air conditioning (HVAC) systems contribute to a major portion of
energy consumption in buildings. Real-time optimal control is an efficient tool to improve the …

Online energy sharing for nanogrid clusters: A Lyapunov optimization approach

N Liu, X Yu, W Fan, C Hu, T Rui… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Nanogrid (NG) cluster (NGC) has the potential to act as one type of basic structure for the
future low voltage distribution networks. In this paper, an online energy sharing method is …

Realistic scheduling mechanism for smart homes

D Mahmood, N Javaid, N Alrajeh, ZA Khan, U Qasim… - Energies, 2016 - mdpi.com
In this work, we propose a Realistic Scheduling Mechanism (RSM) to reduce user frustration
and enhance appliance utility by classifying appliances with respective constraints and their …

Contract and Lyapunov optimization-based load scheduling and energy management for UAV charging stations

L Lv, C Zheng, L Zhang, C Shan, Z Tian… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Nowadays, a large number of civilian unmanned aerial vehicles (UAVs) are increasingly
being used in many of our daily applications. However, there are many kinds of UAVs that …