Recently, various strategies for energy management have been proposed to improve energy efficiency in smart grids. One key aspect of this is the use of microgrids. To effectively manage energy in a
Adverse weather is a leading cause in the disruption of transmission and distribution of electricity. A smart microgrid (SMG) seeks to improve a grid''s readiness in inclement weather
Non-intrusive load monitoring (NILM) enables to understand the appliance-level behavior of the consumers by using only smart meter data, and it mitigates the requirements such as high
The concept of load disaggregation through non-intrusive load monitoring (NILM) is emerging as a cost-effective solution to optimize energy utilization in these systems without the need
Applying a load-shifting technique-based load management approach to reduce the operational costs of a multi-interconnected microgrid during both grid-connected and islanded
Please cite this article as: Esmaeili Shayan M. Application of IoT and non-intrusive load monitoring techniques in microgrid energy management and monitoring systems, Iranica Journal of
This paper introduces a novel control strategy to optimise the load frequency model in a microgrid (MG) with vehicle-to-grid interactions using Particle Swarm Optimisation - deep Artificial
Among Internet of Things (IoT) technologies, real-time monitoring, remote control, and predictive analytics contribute to MGs'' eficiency [6,7]. The IoT facilitates easy communication
In islanded mode, the microgrid disconnects from the main grid and relies on distributed energy resources (DERs) to supply load (Sen and Kumar, 2018; Ortiz et al., 2019). In all forms of
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