Demand-side management in the smart grid often consists of optimizing energy-related
objective functions, with respect to variables, in the presence of constraints expressing …

Distributed renewable energy systems are now widely installed in many buildings,
transforming the buildings into 'electricity prosumers'. Additionally, managing shared energy …

Increasing electrical energy consumption during peak hours leads to increased electrical
energy losses and the spread of environmental pollution. For this reason, demand-side …

The regional energy demand for Southern Africa has been predicted to increase by ten to
fourteen times between the years 2010 and 2070. Thus, to address the proliferation of …

Multi-objective energy optimization is pivotal for reliable and secure power system
operation. However, multi-objective energy optimization is challenging due to …

Smart grids (SGs) enhance the effectiveness, reliability, resilience, and energy-efficient
operation of electrical networks. Nonetheless, SGs suffer from big data transactions which …

Demand response (DR) shaves peak energy consumption and drives energy conservation
to ensure reliable operation of power grid. With the emergence of the smart power grid …

Theft of electricity poses a significant risk to the public and is the most costly non-technical
loss for an electrical supplier. In addition to affecting the quality of the energy supply and the …

Demand-side management (DSM) schemes play a crucial role in managing renewable
energy generation and load fluctuations by utilizing demand–response programmes …

Energy consumption schedulers have been widely adopted for energy management in
smart microgrids. Energy management aims to alleviate energy expenses and peak-to …