Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids 

<br/><br/><br/>English[eng] 
<br/><br/><label>Subjects--Topical Terms: </label><br/>droop curve||frequency regulation||fuzzy logic||the rate of change of frequency||reserve power||smart grid||energy Internet||convolutional neural network||decision optimization||deep reinforcement learning||electric load forecasting||non-dominated sorting genetic algorithm II||multi-layer perceptron||adaptive neuro-fuzzy inference system||meta-heuristic algorithms||automatic generation control||fuzzy neural network control||thermostatically controlled loads||back propagation algorithm||particle swarm optimization||load disaggregation||artificial intelligence||cognitive meters||machine learning||state machine||NILM||non-technical losses||semi-supervised learning||knowledge embed||deep learning||distribution network equipment||condition assessment||multi information source||fuzzy iteration||current balancing algorithm||level-shifted SPWM||medium-voltage applications||multilevel current source inverter||motor drives||phase-shifted carrier SPWM||STATCOM||electricity forecasting||CNN–LSTM||very short-term forecasting (VSTF)||short-term forecasting (STF)||medium-term forecasting (MTF)||long-term forecasting (LTF)||asynchronous motor||linear active disturbance rejection control||error differentiation||vector control||renewable energy||solar power plant||Data Envelopment Analysis (DEA)||Fuzzy Analytical Network Process (FANP)||Fuzzy Theory