Alba Alcañiz Moya

Delft University of Technology

Netherlands

Research Interests

Explore related searches

Professors in Netherlands Professors in Energy Engineering Energy Engineering professors in Netherlands

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (10)

Year:

2025

Year:

2025

Year:

2024

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2020

Collaborators (9)

Anders V. Lindfors

Head of Group & Tenure Track Professor

Finnish Meteorological Institute

FINLAND

View details

Hesan Ziar

Assistant Professor

Delft University of Technology

NETHERLANDS

View details

Shagun Agarwal

Delft University of Technology

NETHERLANDS

View details

Yifeng Zhao

Delft University of Technology

NETHERLANDS

View details

Oriol Colomés

Assistant Professor

Delft University of Technology

NETHERLANDS

View details

Malte Ruben Vogt

Delft University of Technology

NETHERLANDS

View details

Can Han

Delft University of Technology

NETHERLANDS

View details

Olindo Isabella

Associate Professor

Delft University of Technology

NETHERLANDS

View details

Paul Procel

Delft University of Technology

NETHERLANDS

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Alba Alcañiz Moya

Research Interests

Explore related searches

Contact this professor

Articles (10)

Assessment of power losses and structural response of offshore floating solar platform

Wide-area sky view factor analysis and Fourier-based decomposition model for optimizing irradiance sensors allocation in European solar photovoltaic farms: A software tool

Offshore floating PV–DC and AC yield analysis considering wave effects

Individual yield nowcasting for residential PV systems

Achieving 23.83% conversion efficiency in silicon heterojunction solar cell with ultra‐thin MoOx hole collector layer via tailoring (i)a‐Si:H/MoOx interface

Effect of Climate on Photovoltaic Yield Prediction Using Machine Learning Models

Photovoltaic system monitoring and fault detection using peer systems

Introducing a comprehensive physics-based modelling framework for tandem and other PV systems

Trends and gaps in photovoltaic power forecasting with machine learning

Strategy to mitigate the dipole interfacial states in (i)a-Si:H/MoOx passivating contacts solar cells

Collaborators (9)

Anders V. Lindfors

Hesan Ziar

Shagun Agarwal

Yifeng Zhao

Oriol Colomés

Malte Ruben Vogt

Can Han

Olindo Isabella

Paul Procel

Make your next move.