Applied Sciences has reached a remarkable milestone by publishing its 10 th volume in 2020. This milestone is therefore being celebrated by the Electrical, Electronics, and Communications Engineering section with a dedicated Special Issue that consists of 13 original research papers featuring important and recent developments or achievements around relevant topics in the section, with a special emphasis on emerging techniques or applications. Four of the papers featured in this Special Issue addressed important issues related renewable energy sources' injection into the grid. In [1], [PERSON] et al. proposed the optimal scheduling and operation of a prosumer with renewable energy sources and two types of energy storage systems, namely a stationary battery and a plug-in electric vehicle. Due to the intermittent nature of renewable energy sources and their dependence on weather conditions, a weather prediction module was introduced into the energy management system using a feedforward artificial neural network. In [2], [PERSON] et al. addressed the issue of power grid security with the high penetration of wind turbines. In fact, they developed step-by-step guidelines for the security assessment of power electronics-based power grids. These guidelines include static, dynamic, and transient security assessments. The issue of grid-connected converters' resiliency to unbalanced and distorted grids is studied in [3] by [PERSON] et al. In this paper, a comparative analysis of three recently proposed adaptive observer-based grid synchronization techniques is presented for frequency estimation and sequence extraction. The considered techniques are global adaptive observer, gain normalized adaptive observer, and second-order generalized integrator type adaptive observer. The comparative experimental results presented in this paper are expected to provide insights into the selection of adaptive observer-based sequence extraction techniques for power and energy applications. To ensure high-quality grid-injected currents that comply with the stringent harmonic standard, the harmonics around the switching frequency must be effectively filtered. In this context, LCL-type filters have been found to be interesting. However, they introduce a resonant peak into the system, which can cause an output resonance problem. In this context, appropriate damping should be considered, either by passive or active methods, to ensure the stable and reliable operation of the inverter system. These issues were investigated in [4] by [PERSON] et al. who evaluated the stability and performance of current controllers with harmonic compensators for an LCL-filtered grid-connected inverter under distorted weak grid conditions. The investigations achieved results which showed that a state feedback controller is more flexible in controlling an inverter with an LCL filter in a distorted grid environment with uncertain grid impedance. In addition, when the grid is subject to large impedance variation, choosing a high resonant frequency for the LCL filter is preferable, as it greatly extends the stability margin of the inverter system under unexpectedly low grid conditions. Another specific area, which is represented by three papers featured in this Special Issue is electrical machines and drives. In [5], [PERSON] et al. considered the sensitive issue of the reliability of switched reluctance motor drives. In this context, a fault-tolerant power converter and a related fault diagnosis method have been proposed. The converter'stopology does not require extra power semiconductors and only uses solid-state relays to connect the faulty legs to the other healthy legs in order to replace and isolate the faulty devices. The developed diagnosis method is based on the entropy theory. It allows for identification of the faulty leg as well as the failure mode of the power device. The challenges of sensorless speed and displacement control are addressed by [PERSON] et al. in [6].