CoChat
Sign Up
Cited by 208Solar Radiation and PhotovoltaicsPhotovoltaic System Optimization TechniquesEnergy Load and Power Forecasting

PV power forecast using a nonparametric PV model

Open access
Almeida, Marcelo Pinho, Perpiñán, Oscar, Narvarte, Luis·2015·Solar Energy
DOI 10.1016/j.solener.2015.03.006
Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1016/j.solener.2015.03.006

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Previous research on handling missing data in PV systems has focused on imputation of irradiance and temperature data for grid-connected systems.

    “Previous research on handling missing data in PV systems has focused on imputation of irradiance and temperature data for grid-connected systems [27,28].”

    From Analysis of standalone solar streetlights for improved energy access in displaced settlements (2021) · cites this paper as [28]

The citation lists haven’t been fetched yet

References 25 · Cited by 208

Authors
Almeida, M. P., Perpiñán, O., & Narvarte, L.
Affiliations
Universidade de São Paulo (BR)
Corresponding author
Almeida, Marcelo Pinho
ORCID
Almeida, Marcelo Pinho
Venue
Solar Energy
Publisher
Elsevier BV
Published
2015-05
Volume
115
Pages
354-368
ISSN
0038-092X (ISSN-L)
DOI
10.1016/j.solener.2015.03.006
OpenAlex
W1989649856
Cited by
208
References
25
Citations by year
2026: 6 · 2025: 8 · 2024: 27 · 2023: 22 · 2022: 19 · 2021: 19 · 2020: 29 · 2019: 17 · 2018: 26 · 2017: 20 · 2016: 12 · 2015: 3
FWCI
19.93
Type
journal article
Language
en
Open access
Licence
Locations
  • Solar Energy (publishedVersion)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-sa)
  • Hispana (submittedVersion, cc-by-sa)
  • Archivo Digital UPM (Universidad Politécnica de Madrid) (submittedVersion, cc-by-sa)
Funders
Seventh Framework Programme (308468)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Solar Radiation and Photovoltaics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Photovoltaic System Optimization Techniques
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Energy Load and Power Forecasting
Keywords
photovoltaic power forecasting, quantile regression forest, numerical weather prediction, meteorological parameters, confidence intervals

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review