Advanced methods for photovoltaic output power forecasting: A review
Forecasting is a crucial task for successfully integrating photovoltaic (PV) output power into
the grid. The design of accurate photovoltaic output forecasters remains a challenging issue …
the grid. The design of accurate photovoltaic output forecasters remains a challenging issue …
Using machine learning in photovoltaics to create smarter and cleaner energy generation systems: A comprehensive review
Photovoltaic (PV) technologies are expected to play an increasingly important role in future
energy production. In parallel, machine learning has gained prominence because of a …
energy production. In parallel, machine learning has gained prominence because of a …
A novel adaptive discrete grey model with time-varying parameters for long-term photovoltaic power generation forecasting
S Ding, R Li, Z Tao - Energy Conversion and Management, 2021 - Elsevier
The rapidly growing photovoltaic power generation (PPG) instigates stochastic volatility of
electricity supply that may compromise the power grid's stability and increase the grid …
electricity supply that may compromise the power grid's stability and increase the grid …
Ultra-short-term exogenous forecasting of photovoltaic power production using genetically optimized non-linear auto-regressive recurrent neural networks
Accurate and credible ultra-short-term photovoltaic (PV) power production prediction is very
important in short-term resource planning, electric power dispatching, and operational …
important in short-term resource planning, electric power dispatching, and operational …
[HTML][HTML] Trends and gaps in photovoltaic power forecasting with machine learning
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 …
production of photovoltaic (PV) power at each instant of time is crucial for its integration into …
A temporal distributed hybrid deep learning model for day-ahead distributed PV power forecasting
Y Qu, J Xu, Y Sun, D Liu - Applied Energy, 2021 - Elsevier
In recent years, the integration of distributed photovoltaic has witnessed explosive growth
because of its great economic and environmental benefits. However, the intermittence and …
because of its great economic and environmental benefits. However, the intermittence and …
[HTML][HTML] A review of data-driven smart building-integrated photovoltaic systems: Challenges and objectives
The smart building-integrated photovoltaic (SBIPV) systems have become the important
source of electricity in recent years. However, many sociological and engineering …
source of electricity in recent years. However, many sociological and engineering …
Completed review of various solar power forecasting techniques considering different viewpoints
Solar power has rapidly become an increasingly important energy source in many countries
over recent years; however, the intermittent nature of photovoltaic (PV) power generation …
over recent years; however, the intermittent nature of photovoltaic (PV) power generation …
Sub-region division based short-term regional distributed PV power forecasting method considering spatio-temporal correlations
Accurate regional distributed PV power forecasting provides data support for power grid
management and optimal operation. Distributed PV has the characteristics of large quantity …
management and optimal operation. Distributed PV has the characteristics of large quantity …
Renewable energy prediction: A novel short-term prediction model of photovoltaic output power
LL Li, SY Wen, ML Tseng, CS Wang - Journal of Cleaner Production, 2019 - Elsevier
Photovoltaic power generation is gradually developing into a massive power industry with
the maturity of renewable energy power generation technologies. Photovoltaic power …
the maturity of renewable energy power generation technologies. Photovoltaic power …