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A review of strategies for building energy management system: Model predictive control, demand side management, optimization, and fault detect & diagnosis
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 …
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
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 …
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
This paper proposes a novel framework for home energy management (HEM) based on
reinforcement learning in achieving efficient home-based demand response (DR). The …
reinforcement learning in achieving efficient home-based demand response (DR). The …
Deep reinforcement learning for smart home energy management
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 …
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
Demand-side management, a new development in smart grid technology, has enabled
communication between energy suppliers and consumers. Demand side energy …
communication between energy suppliers and consumers. Demand side energy …
IoT-based smart homes: A review of system architecture, software, communications, privacy and security
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 …
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
In smart grid era, demand side management (DSM) plays an indispensable role in
development of sustainable cities and societies. This paper presents practical challenges …
development of sustainable cities and societies. This paper presents practical challenges …
IoT-based optimal demand side management and control scheme for smart microgrid
Renewable energy resources (RESs) are highly speared to cover colossal electricity
demand. Smart microgrids (SMGs) are engaged with demand-side management (DSM) to …
demand. Smart microgrids (SMGs) are engaged with demand-side management (DSM) to …
Distributed deep reinforcement learning for intelligent load scheduling in residential smart grids
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 …
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
The intermittency introduced by the increasing integration of distributed renewable energy
sources is challenging the efficient operation of residential distribution systems. A promising …
sources is challenging the efficient operation of residential distribution systems. A promising …