History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining

D Yang, J Kleissl, CA Gueymard, HTC Pedro… - Solar Energy, 2018 - Elsevier
Text mining is an emerging topic that advances the review of academic literature. This paper
presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power …

[HTML][HTML] Trends and gaps in photovoltaic power forecasting with machine learning

A Alcañiz, D Grzebyk, H Ziar, O Isabella - Energy Reports, 2023 - Elsevier
The share of solar energy in the electricity mix increases year after year. Knowing the
production of photovoltaic (PV) power at each instant of time is crucial for its integration into …

Fastest‐growing source prediction of US electricity production based on a novel hybrid model using wavelet transform

W Qiao, Z Li, W Liu, E Liu - International Journal of Energy …, 2022 - Wiley Online Library
Electricity is an important indicator for economic development, especially electricity
production (EP), which is electricity industry managers making strategic decisions. There are …

Day-ahead power forecasting in a large-scale photovoltaic plant based on weather classification using LSTM

M Gao, J Li, F Hong, D Long - Energy, 2019 - Elsevier
Photovoltaic (PV) solar power generation is always associated with uncertainties due to
weather parameters intermittency. This poses difficulties in grid management as solar …

Different aspects of microgrid management: A comprehensive review

MA Jirdehi, VS Tabar, S Ghassemzadeh… - Journal of Energy …, 2020 - Elsevier
Microgrid is a network that usually includes small generators, storages and local loads.
Environmental issues, fossil fuels finitude and economic benefits are three important …

A guideline to solar forecasting research practice: Reproducible, operational, probabilistic or physically-based, ensemble, and skill (ROPES)

D Yang - Journal of Renewable and Sustainable Energy, 2019 - pubs.aip.org
Over the past decade, significant progress in solar forecasting has been made.
Nevertheless, there are concerns about duplication, long-term value, and reproducibility; this …

Solar irradiance forecast using aerosols measurements: A data driven approach

A Alfadda, S Rahman, M Pipattanasomporn - Solar Energy, 2018 - Elsevier
The use of renewable energy resources has grown several fold in the last two decades. One
of the main challenges is the uncertainty in their output power due to fluctuating …

Modular energy cost optimization for buildings with integrated microgrid

V Lešić, A Martinčević, M Vašak - Applied Energy, 2017 - Elsevier
Buildings are becoming suitable for application of sophisticated energy management
approaches to increase their energy efficiency and possibly turn them into active energy …

Energy planning of sustainable districts: Towards the exploitation of small size intermittent renewables in urban areas

S Bracco, F Delfino, G Ferro, L Pagnini, M Robba… - Applied Energy, 2018 - Elsevier
An optimization model is formalized for the energy planning of urban districts equipped with
renewable energy power plants (photovoltaic fields and wind micro-turbines), combined …

Fuzzy predictor with additive learning for very short-term PV power generation

M Monfared, M Fazeli, R Lewis, J Searle - Ieee Access, 2019 - ieeexplore.ieee.org
Photovoltaic (PV) power generation is highly intermittent in nature and any accurate very
short-term prediction can decrease the impact of its uncertainties and operation costs and …