Forecasting of photovoltaic power generation and model optimization: A review
To mitigate the impact of climate change and global warming, the use of renewable energies
is increasing day by day significantly. A considerable amount of electricity is generated from …
is increasing day by day significantly. A considerable amount of electricity is generated from …
Solar photovoltaic power forecasting: A review
KJ Iheanetu - Sustainability, 2022 - mdpi.com
The recent global warming effect has brought into focus different solutions for combating
climate change. The generation of climate-friendly renewable energy alternatives has been …
climate change. The generation of climate-friendly renewable energy alternatives has been …
Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques
The modernisation of the world has significantly reduced the prime sources of energy such
as coal, diesel and gas. Thus, alternative energy sources based on renewable energy have …
as coal, diesel and gas. Thus, alternative energy sources based on renewable energy have …
Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components
Three methods, smart persistence, artificial neural network and random forest, are compared
to forecast the three components of solar irradiation (global horizontal, beam normal and …
to forecast the three components of solar irradiation (global horizontal, beam normal and …
Photovoltaic and solar power forecasting for smart grid energy management
Due to the challenge of climate and energy crisis, renewable energy generation including
solar generation has experienced significant growth. Increasingly high penetration level of …
solar generation has experienced significant growth. Increasingly high penetration level of …
[HTML][HTML] Transfer learning strategies for solar power forecasting under data scarcity
Accurately forecasting solar plants production is critical for balancing supply and demand
and for scheduling distribution networks operation in the context of inclusive smart cities and …
and for scheduling distribution networks operation in the context of inclusive smart cities and …
Predicting solar energy generation through artificial neural networks using weather forecasts for microgrid control
F Rodríguez, A Fleetwood, A Galarza, L Fontán - Renewable energy, 2018 - Elsevier
This paper proposes an artificial neural network (ANN) to predict the solar energy
generation produced by photovoltaic generators. The intermittent nature of solar power …
generation produced by photovoltaic generators. The intermittent nature of solar power …
Distributed optimal energy management in microgrids
Energy management in microgrids is typically formulated as a nonlinear optimization
problem. Solving it in a centralized manner does not only require high computational …
problem. Solving it in a centralized manner does not only require high computational …
Distribution voltage regulation through active power curtailment with PV inverters and solar generation forecasts
Distribution voltage profiles are subjected to overvoltage limit violations from high
penetration of grid-connected photovoltaic (PV) systems. Such voltage rises seen at the …
penetration of grid-connected photovoltaic (PV) systems. Such voltage rises seen at the …
Forecasting solar power using long-short term memory and convolutional neural networks
W Lee, K Kim, J Park, J Kim, Y Kim - IEEE access, 2018 - ieeexplore.ieee.org
As solar photovoltaic (PV) generation becomes cost-effective, solar power comes into its
own as the alternative energy with the potential to make up a larger share of growing energy …
own as the alternative energy with the potential to make up a larger share of growing energy …