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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the professor, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information on professor
ProfessorOgliari Emanuele Giovanni Carlo
QualificationUntenured researcher legge 240/10 full time
Belonging DepartmentDipartimento di Energia
Scientific-Disciplinary SectorING-IND/31 - Electrical Engineering
Curriculum Vitae--
OrcIDhttps://orcid.org/0000-0002-2106-0374

Contacts
Professor's office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
------FridayFrom 17:30
To 18:30
------
E-mailemanuelegiovanni.ogliari@polimi.it
Professor's personal website--

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2020 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Contributions on scientific books
Photovoltaic Plant Output Power Forecast by Means of Hybrid Artificial Neural Networks (Show >>)
Conference proceedings
Data quality analysis in day-ahead load forecast by means of LSTM (Show >>)
Journal Articles
Advanced Methods for Photovoltaic Output Power Forecasting: A Review (Show >>)
Improved PSO: A comparative study in MPPT algorithm for PV system control under partial shading conditions (Show >>)


List of publications and reserach products for the year 2019 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Prefazione/Postfazione
Computational intelligence in photovoltaic systems (Show >>)
Conference proceedings
Ground fault analysis in a microgrid scenario (Show >>)
PV power forecasting improvement by means of a selective ensemble approach (Show >>)
Preliminary model comparison for Dynamic Thermal Rating estimation (Show >>)
Journal Articles
Comparison of data-driven techniques for nowcasting applied to an industrial-scale photovoltaic plant (Show >>)
Day-ahead photovoltaic forecasting: A comparison of the most effective techniques (Show >>)
PV Module Fault Diagnosis Based on Microconverters and Day-Ahead Forecast (Show >>)
Robust 24 hours ahead forecast in a microgrid: A real case study (Show >>)


List of publications and reserach products for the year 2018 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
Stability Analysis and Optimal Energy Management of a Stand-Alone Hybrid Micro-Grid (Show >>)
Validation of ANN Training Approaches for Day-Ahead Photovoltaic Forecasts (Show >>)
Journal Articles
An evolutionary-based MPPT algorithm for photovoltaic systems under dynamic partial shading (Show >>)
Comparison of training approaches for photovoltaic forecasts by means of machine learning (Show >>)
Computational intelligence techniques applied to the day ahead PV output power forecast: PHANN, SNO and mixed (Show >>)


List of publications and reserach products for the year 2017 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
ANN sizing procedure for the day-ahead output power forecast of a PV plant (Show >>)
Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power (Show >>)
Physical and hybrid methods comparison for the day ahead PV output power forecast (Show >>)


List of publications and reserach products for the year 2016 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A novel MPPT algorithm for photovoltaic systems under dynamic partial shading-Recurrent scan and track method (Show >>)
Day-ahead PV power forecast by hybrid ANN compared to the five parameters model estimated by particle filter algorithm (Show >>)
Day-ahead forecasting for photovoltaic power using artificial neural networks ensembles (Show >>)
Neural forecasting of the day-ahead hourly power curve of a photovoltaic plant (Show >>)
PV hourly day-ahead power forecasting in a micro grid context (Show >>)
Journal Articles
Efficiency analysis of PV power plants shaded by MV overhead lines (Show >>)
manifesti v. 3.4.7 / 3.4.7
Area Servizi ICT
24/11/2020