A review of strategies for building energy management system: Model predictive control, demand side management, optimization, and fault detect & diagnosis

D Mariano-Hernández, L Hernández-Callejo… - Journal of Building …, 2021 - Elsevier
Building energy use is expected to grow by more than 40% in the next 20 years. Electricity
remains the largest energy source consumed by buildings, and that demand is growing. To …

[HTML][HTML] Residential Demand Side Management model, optimization and future perspective: A review

S Panda, S Mohanty, PK Rout, BK Sahu, M Bajaj… - Energy Reports, 2022 - Elsevier
The residential load sector plays a vital role in terms of its impact on overall power balance,
stability, and efficient power management. However, the load dynamics of the energy …

A multi-agent reinforcement learning-based data-driven method for home energy management

X Xu, Y Jia, Y Xu, Z Xu, S Chai… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper proposes a novel framework for home energy management (HEM) based on
reinforcement learning in achieving efficient home-based demand response (DR). The …

Deep reinforcement learning for smart home energy management

L Yu, W **e, D **e, 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 …

A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction

MS Bakare, A Abdulkarim, M Zeeshan, AN Shuaibu - Energy Informatics, 2023 - Springer
Demand-side management, a new development in smart grid technology, has enabled
communication between energy suppliers and consumers. Demand side energy …

IoT-based smart homes: A review of system architecture, software, communications, privacy and security

D Mocrii, Y Chen, P Musilek - Internet of Things, 2018 - Elsevier
This article presents a review of major technologies of IoT-based smart homes. It starts with
definition of the smart home that sets the perspective adopted in the review. In addition to …

Demand side management through load shifting in IoT based HEMS: Overview, challenges and opportunities

S Sharda, M Singh, K Sharma - Sustainable Cities and Society, 2021 - Elsevier
In smart grid era, demand side management (DSM) plays an indispensable role in
development of sustainable cities and societies. This paper presents practical challenges …

IoT-based optimal demand side management and control scheme for smart microgrid

BE Sedhom, MM El-Saadawi, MS El Moursi… - International Journal of …, 2021 - Elsevier
Renewable energy resources (RESs) are highly speared to cover colossal electricity
demand. Smart microgrids (SMGs) are engaged with demand-side management (DSM) to …

Distributed deep reinforcement learning for intelligent load scheduling in residential smart grids

HM Chung, S Maharjan, Y Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The power consumption of households has been constantly growing over the years. To cope
with this growth, intelligent management of the consumption profile of the households is …

Intraday residential demand response scheme based on peer-to-peer energy trading

W Liu, D Qi, F Wen - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
The intermittency introduced by the increasing integration of distributed renewable energy
sources is challenging the efficient operation of residential distribution systems. A promising …