Evaluation and mitigation of the undesired effect of DC bias on inverter power transformer by Isumbingabo, Emma Francoise

“…DG systems are based on grid connected inverters and are increasingly being connected to utility grids to convert renewable energy sources to the utility grids. …”
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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems by Nwachukwu, Sampson

“…In this study, a solar PV array's MPPT control problem under PSCs is investigated and addressed by applying three model-free and off-policy deep reinforcement learning (DRL) algorithms such as Deep Deterministic Policy Gradient (DDPG), Soft Actor-Critic (SAC), and Deep Q-Network (DQN) algorithm. They are utilized mainly due to their robustness and ability to handle continuous state spaces, unlike the traditional RL method, which operates with discrete action and state domains. …”
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Development of a scaled doubly-fed induction generator for assessment of wind power integration issues by Dehnavifard, Hossein

“…The micro-machine is introduced in order to overcome the challenges of simulation models and the costs involved in field tests. …”
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Optimal energy management for a grid-tied solar PV-battery microgrid: A reinforcement learning approach by Muriithi, Grace

“…Simulation results substantiated the efficacy of the proposed method as the algorithm was established to learn from experience to raise the battery state of charge and optimally shift loads from a one-time instance, thus supporting the utility grid in reducing aggregate peak load. …”
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Nanosatellite rendezvous with electrical propulsion by Swart, Irvin

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Energy retrofit decision support model for existing educational buildings in Egypt by Eltahan, Rania

“…This model provides a method to manage budget against proposed retrofits taking energy efficiency and return on investment into consideration. …”
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A continuous-time formulation for spatial capture-recapture models by Distiller, Greg

“…Some examples of these new non-invasive sampling methods include scat or hair collection for genetic analysis, acoustic detection and camera trapping. …”
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Design and performance evaluation of a full rate, full diversity space-time-spreading code for an arbitrary number of Tx antennas

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Reinforcement learning for power scheduling in a grid-tied pv-battery electric vehicles charging station by Arwa, Erick Odhiambo

“…Likewise, the A2C was compared with the conventional actor-critic method in terms of stability, scalability and convergence. …”
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A system dynamics approach to managing project risks in the electricity industry in sub Saharan Africa

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Active tool vibration control and tool condition monitoring using a self-sensing actuator

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Single-Phase Bi-directional Ćuk Inverter for Battery Applications by Shelembe, Lindani

“…The AC input power factor was > 0.95 for both simulated and experimental results.…”
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Feasibility of converting existing residential buildings to net zero-energy buildings in Egypt by Albadry, Somaya

“…The research suggests the nZEB (net zero-energy buildings) methodology as a possible solution for the problem and provides a guideline to be used among the rest of existing building types. The research utilizes energy simulation to validate its initial assumptions and to test the feasibility of the proposed guideline. …”
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Reliable Outdoor Ai-Based Autonomous Uav Localization and Trajectory Tracking Using Cellular Networks by Afifi, Ghada

“…We then formulate the reliable UAV navigation problem as an optimization problem to maximize the probability of minimum error along the path of the UAV. We utilize conventional optimization methods to determine the optimal bound of the solution of the reliable UAV navigation problem. …”
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Environmental drivers of expansion in reef species from the Indo-Pacific region

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Fast, realistic terrain synthesis by Crause, Justin

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Correlation attacks on stream ciphers using convolutional codes

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Bargaining competition and vertical mergers by Minnie, Roan Johan

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Order sequencing and SKU arrangement on a unidirectional picking line by Matthews, Jason

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