| 1 |
Machine Learning Approaches for Short-Term Photovoltaic Power Forecasting |
energies |
2024 |
wl0qsj87cmovdfh.pdf
|
| 2 |
Design of a Two-Area Automatic Generation Control Using a Single Input Fuzzy Gain Scheduling PID Controller |
International Journal of Intelligent Engineering and Systems, |
2023 |
|
| 3 |
Bacterial Foraging Algorithm for a Neural Network Learning Improvement in an Automatic Generation Controller |
energies |
2023 |
|
| 4 |
Design of a Load Frequency Controller based on Artificial Neural Network for Single-Area Power System |
UPEC |
2023 |
|
| 5 |
Design of a Load Frequency Controller Based on an Optimal Neural Network |
energies |
2023 |
|
| 6 |
Self-Powered 6LoWPAN Sensor Node for Green IoT Edge Devices |
Materials Science and Engineering |
2023 |
ugez_3ayo4w6ijc.pdf
|
| 7 |
Design of a Load Frequency Control based on a Fuzzy logic for Single Area Networks |
UPEC |
2022 |
zg0pr1kaq4elm9j.pdf
|
| 8 |
An Adaptation of Multi-Module Converter of PV Configuration using a Wireless Senser Network |
Design Engineering |
2021 |
th0ekzuj1_9ym8g.pdf
|
| 9 |
Assessment of Roof-Top Photovoltaic Installations on the Total Harmonic Distortion of Low Voltage Distribution Networks |
UPEC |
2021 |
baz8hcdojvi02sq.pdf
|
| 10 |
Maximum Power Point Tracking Technique based on a Neural-Fuzzy Approach for Stand-alone Photovoltaic System |
UPEC |
2020 |
oda5eyk8stb9n3r.pdf
|
| 11 |
A particle swarm optimisation-trained feedforward neural network for predicting the maximum power point of a photovoltaic array |
Engineering Applications of Artificial Intelligence |
2020 |
|
| 12 |
Design of an Intelligent ANN-MPPT Controller using Real Photovoltaic System Data |
UPEC |
2019 |
xgpujr93dhf62qn.pdf
|
| 13 |
Design of an Efficient Maximum Power Point Tracker Based on ANFIS Using an Experimental Photovoltaic System Data |
Electronics |
2019 |
ia2yc_t56bdv3p0.pdf
|
| 14 |
A Modified P&O-MPPT based on Pythagorean Theorem and CV-MPPT for PV Systems |
UPEC |
2018 |
hmza5det3jcikgu.pdf
|
| 15 |
A novel maximum power point tracking technique based on fuzzy logic for photovoltaic systems |
International Journal of Hydrogen Energy |
2018 |
cdxfokrnp3v_69h.pdf
|
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