| Nome |
# |
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Innovative Automated Control System for PV Fields Inspection and Remote Control, file e0c31c08-cdb2-4599-e053-1705fe0aef77
|
1.685
|
|
Light Unmanned Aerial Vehicles (UAVs) for cooperative inspection of PV plants, file e0c31c08-249b-4599-e053-1705fe0aef77
|
1.141
|
|
Snail Trails and Cell Microcrack Impact on PV Module Maximum Power and Energy Production, file e0c31c09-c83b-4599-e053-1705fe0aef77
|
1.058
|
|
Comparison of different physical models for PV power output prediction, file e0c31c12-9695-4599-e053-1705fe0aef77
|
859
|
|
Comparison of different physical models for PV power output prediction, file e0c31c08-8c1d-4599-e053-1705fe0aef77
|
850
|
|
Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power, file e0c31c09-5375-4599-e053-1705fe0aef77
|
580
|
|
Urban scale photovoltaic charging stations for electric vehicles, file e0c31c0d-f04f-4599-e053-1705fe0aef77
|
401
|
|
Forecasting: theory and practice, file 7cd33c1a-31c4-466a-8e0e-b74e78303509
|
345
|
|
Survey on PV Modules’ Common Faults After an O&M Flight Extensive Campaign Over Different Plants in Italy, file e0c31c0a-dae6-4599-e053-1705fe0aef77
|
284
|
|
The optimum PV plant for a given solar DC/AC converter, file e0c31c08-cbbb-4599-e053-1705fe0aef77
|
282
|
|
Performance analysis of grid-connected wind turbines, file e0c31c08-b4ae-4599-e053-1705fe0aef77
|
253
|
|
Solar energy exploitation for charging vehicles, file e0c31c08-d1ca-4599-e053-1705fe0aef77
|
234
|
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Advanced Methods for Photovoltaic Output Power Forecasting: A Review, file e0c31c0f-04fa-4599-e053-1705fe0aef77
|
232
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|
A physical hybrid artificial neural network for short term forecasting of PV plant power output, file e0c31c08-cbb9-4599-e053-1705fe0aef77
|
213
|
|
Comparison of training approaches for photovoltaic forecasts by means of machine learning, file e0c31c0b-b138-4599-e053-1705fe0aef77
|
196
|
|
Sustainable solutions for internal mobility in spread university campuses, file e0c31c0c-d541-4599-e053-1705fe0aef77
|
192
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|
Organic Photovoltaic Modules Installation: Italy and Algeria Case Studies, file e0c31c10-c233-4599-e053-1705fe0aef77
|
171
|
|
ANN sizing procedure for the day-ahead output power forecast of a PV plant, file e0c31c0b-6bbd-4599-e053-1705fe0aef77
|
167
|
|
Physical and hybrid methods comparison for the day ahead PV output power forecast, file e0c31c11-87f1-4599-e053-1705fe0aef77
|
167
|
|
A Comparative Study on Controllers for Improving Transient Stability of DFIG Wind Turbines During Large Disturbances, file e0c31c0b-ba81-4599-e053-1705fe0aef77
|
162
|
|
Feature Papers of Forecasting 2021, file 14f2ba38-f3ba-494f-9a20-e630bacf3948
|
158
|
|
Planning for PV plant performance monitoring by means of unmanned aerial systems (UAS), file e0c31c08-8c1f-4599-e053-1705fe0aef77
|
155
|
|
Implementation of different pv forecast approaches in a multigood microgrid: Modeling and experimental results, file e0c31c10-c3b9-4599-e053-1705fe0aef77
|
139
|
|
Pitch angle control using hybrid controller for all operating regions of SCIG wind turbine system, file e0c31c0d-f237-4599-e053-1705fe0aef77
|
135
|
|
An evolutionary-based MPPT algorithm for photovoltaic systems under dynamic partial shading, file e0c31c0d-73db-4599-e053-1705fe0aef77
|
133
|
|
Comparison of data-driven techniques for nowcasting applied to an industrial-scale photovoltaic plant, file e0c31c0f-03ce-4599-e053-1705fe0aef77
|
130
|
|
Thermal and electric performances of roll-bond flat plate applied to conventional PV modules for heat recovery, file e0c31c11-2957-4599-e053-1705fe0aef77
|
130
|
|
Computational intelligence techniques applied to the day ahead PV output power forecast: PHANN, SNO and mixed, file e0c31c0e-105e-4599-e053-1705fe0aef77
|
129
|
|
PV Module Fault Diagnosis Based on Microconverters and Day-Ahead Forecast, file e0c31c11-a1c6-4599-e053-1705fe0aef77
|
119
|
|
Investigation on Performance Decay on Photovoltaic Modules: Snail Trails and Cell Microcracks, file e0c31c0e-51b5-4599-e053-1705fe0aef77
|
115
|
|
Snail Trails and Cell Microcrack Impact on PV Module Maximum Power and Energy Production, file e0c31c12-49de-4599-e053-1705fe0aef77
|
115
|
|
Day-ahead photovoltaic forecasting: A comparison of the most effective techniques, file e0c31c0e-fac5-4599-e053-1705fe0aef77
|
106
|
|
Design of a resonant converter for a regenerative braking system based on ultracap storage for application in a formula sae single-seater electric racing car, file e0c31c10-a634-4599-e053-1705fe0aef77
|
106
|
|
Improving transient stability in a grid-connected squirrel-cage induction generatorwind turbine system using a fuzzy logic controller, file e0c31c08-87e3-4599-e053-1705fe0aef77
|
105
|
|
Thermal and luminous investigations of a pcLED based refrigerating liquid prototype, file e0c31c0d-b487-4599-e053-1705fe0aef77
|
92
|
|
User Behavior Clustering Based Method for EV Charging Forecast, file 6830980b-6132-477a-93c7-7bf92fe15624
|
84
|
|
Feature Papers of Forecasting, file 372b21f0-66c6-466e-b10f-c88926a9b1ab
|
83
|
|
Robust 24 hours ahead forecast in a microgrid: A real case study, file e0c31c0e-efb7-4599-e053-1705fe0aef77
|
82
|
|
HOT-SPOT PHENOMENON IN PV SYSTEMS WITH OVERHEAD LINES PARTIAL SHADING, file e0c31c0a-5a59-4599-e053-1705fe0aef77
|
77
|
|
FAULT RIDE-THROUGH CAPABILITY AND DAMPING IMPROVEMENT IN DFIG, file e0c31c09-c77e-4599-e053-1705fe0aef77
|
72
|
|
PHOTOVOLTAIC PRODUCTION MANAGEMENT IN STOCHASTIC OPTIMIZED MICROGRIDS, file e0c31c0b-2357-4599-e053-1705fe0aef77
|
70
|
|
Adaptive wavelet neural network for wind speed and solar power forecasting for Italian data, file e0c31c08-249e-4599-e053-1705fe0aef77
|
61
|
|
Multiple site intraday solar irradiance forecasting by machine learning algorithms: MGGP and MLP neural networks, file e0c31c11-2ce7-4599-e053-1705fe0aef77
|
61
|
|
PV Plant Power Nowcasting: A Real Case Comparative Study With an Open Access Dataset, file e0c31c10-a63a-4599-e053-1705fe0aef77
|
53
|
|
Development and experimental validation of hierarchical energy management system based on stochastic model predictive control for Off-grid Microgrids, file e0c31c12-479a-4599-e053-1705fe0aef77
|
52
|
|
Recycling c-Si PV Modules: A Review, a Proposed Energy Model and a Manufacturing Comparison †, file 096ff813-8d37-4767-ba58-a91f38941424
|
46
|
|
A Selective Ensemble Approach for Accuracy Improvement and Computational Load Reduction in ANN-based PV power forecasting, file e0c31c12-6020-4599-e053-1705fe0aef77
|
41
|
|
Experimental investigation of PQ impact of different lighting systems in railway stations, file e0c31c08-24fd-4599-e053-1705fe0aef77
|
39
|
|
Day Ahead Electric Load Forecast: A Comprehensive LSTM-EMD Methodology and Several Diverse Case Studies, file a6751fc7-46a2-4fcb-8b0b-d884e00b13bf
|
27
|
|
Outdoor Performance of Organic Photovoltaics: Comparative Analysis, file a531e66b-0a17-48ab-8119-63ec874377ab
|
24
|
|
Efficacy comparison of PV Panel for Ex environment, file e0c31c12-8cc6-4599-e053-1705fe0aef77
|
24
|
|
Data-Driven Methods for the State of Charge Estimation of Lithium-Ion Batteries: An Overview, file 349edb74-178b-4f89-ad2d-10a0e5df3717
|
19
|
|
Characterization of Bifacial Photovoltaic Modules Based on I-V Curves Outdoor Measurement, file 43061ea1-ed53-4912-901c-da5878d3d1cd
|
12
|
|
Performance Assessment of Mismatch Mitigation Methodologies Using Field Data in Solar Photovoltaic Systems, file 6603c663-b553-4635-8994-43da36eddfa5
|
12
|
|
Editorial for Special Issue: “Feature Papers of Forecasting 2021”, file 68d29206-91fe-4339-99c1-560965b287dd
|
9
|
|
Sustainability-oriented innovation of a multilayered cement-based roof element, file e0c31c0c-6515-4599-e053-1705fe0aef77
|
9
|
|
Editorial for Special Issue: “Feature Papers of Forecasting”, file 648b939c-d801-4540-9d87-3dccabf7903f
|
8
|
|
A user-friendly and accurate machine learning tool for the evaluation of the worldwide yearly photovoltaic electricity production, file 35f79fc4-ce56-4853-b31c-5fea64953779
|
7
|
|
Bifacial and Monofacial PV Systems Performance Assessment Based on IEC 61724-1 Standard, file b60ee44b-06ab-4c2e-891b-a7774b1000dd
|
5
|
|
Thermal and electric performances of roll-bond flat plate applied to conventional PV modules for heat recovery, file e0c31c09-c32c-4599-e053-1705fe0aef77
|
5
|
|
Day-ahead PV power forecast by hybrid ANN compared to the five parameters model estimated by particle filter algorithm, file e0c31c0a-3cbd-4599-e053-1705fe0aef77
|
5
|
|
Physical and hybrid methods comparison for the day ahead PV output power forecast, file e0c31c0b-4b37-4599-e053-1705fe0aef77
|
5
|
|
Coil design and magnetic shielding of a resonant wireless power transfer system for electric vehicle battery charging, file e0c31c0b-5a4f-4599-e053-1705fe0aef77
|
5
|
|
PV plant digital mapping for modules' defects detection by unmanned aerial vehicles, file e0c31c0b-851e-4599-e053-1705fe0aef77
|
5
|
|
Energy Resilience in Telecommunication Networks: A Comprehensive Review of Strategies and Challenges, file 7e03c4db-7073-4fa6-94f4-a9438a9d6043
|
4
|
|
Power pad design and optimization for contactless electric vehicle battery charging system, file e0c31c0b-934e-4599-e053-1705fe0aef77
|
4
|
|
Pitch angle control using hybrid controller for all operating regions of SCIG wind turbine system, file e0c31c08-1bbb-4599-e053-1705fe0aef77
|
3
|
|
PV Module Fault Diagnosis Based on Microconverters and Day-Ahead Forecast, file e0c31c0c-c0bf-4599-e053-1705fe0aef77
|
3
|
|
Multiconductor transmission line models for PQ and EMC analysis of railway electrification systems, file e0c31c08-0f88-4599-e053-1705fe0aef77
|
2
|
|
Thermal and luminous investigations of a pcLED based refrigerating liquid prototype, file e0c31c08-1bba-4599-e053-1705fe0aef77
|
2
|
|
Investigation on Performance Decay on Photovoltaic Modules: Snail Trails and Cell Microcracks, file e0c31c08-1bbc-4599-e053-1705fe0aef77
|
2
|
|
Urban scale photovoltaic charging stations for electric vehicles, file e0c31c08-2499-4599-e053-1705fe0aef77
|
2
|
|
Hybrid Photovoltaic and Hybrid Photovoltaic-Fuel Cell System: economic and environmental analysis, file e0c31c07-c0fa-4599-e053-1705fe0aef77
|
1
|
|
Impact of High-Voltage Primary Supply Lines in the 2x25kV – 50 Hz Railway System on the Equivalent Impedance at Pantograph Terminals, file e0c31c07-ef05-4599-e053-1705fe0aef77
|
1
|
|
Liquid Cooling for Improved LED Performance, file e0c31c08-1cfa-4599-e053-1705fe0aef77
|
1
|
|
Image Resolution and Defects Detection in PV Inspection by Unmanned Technologies, file e0c31c09-c25c-4599-e053-1705fe0aef77
|
1
|
|
Analysis of control strategies for compensated inductive power transfer system for electric vehicles charging, file e0c31c0b-9747-4599-e053-1705fe0aef77
|
1
|
|
Hybrid Renewable Power System for Radio Networks in Mission Critical Applications, file e0c31c10-89d3-4599-e053-1705fe0aef77
|
1
|
|
Comparison of echo state network and feed-forward neural networks in electrical load forecasting for demand response programs, file e0c31c10-bf50-4599-e053-1705fe0aef77
|
1
|
|
Outdoor Assessment and Performance Evaluation of OPV Modules, file e0c31c10-c3af-4599-e053-1705fe0aef77
|
1
|
|
Oxidation Impact of CIGS Photovoltaic Modules Performance after 10 Years of Operation, file e0c31c12-8ea0-4599-e053-1705fe0aef77
|
1
|
|
Time-dependent photovoltaic performance assessment on a global scale using artificial neural networks, file f4a6b8bb-4596-47f8-8b14-90edf76beecf
|
1
|
|
Machine Learning methods for clustering and day-ahead thermal load forecasting of an existing District Heating, file f5ec1914-5080-48a0-a67f-8c7666f2d0fb
|
1
|
| Totale |
12.374 |