A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization
Integration of photovoltaics into power grids is difficult as solar energy is highly dependent
on climate and geography; often fluctuating erratically. This causes penetrations and voltage …
on climate and geography; often fluctuating erratically. This causes penetrations and voltage …
Solar photovoltaic generation forecasting methods: A review
S Sobri, S Koohi-Kamali, NA Rahim - Energy conversion and management, 2018 - Elsevier
Solar photovoltaic plants are widely integrated into most countries worldwide. Due to the
ever-growing utilization of solar photovoltaic plants, either via grid-connection or stand …
ever-growing utilization of solar photovoltaic plants, either via grid-connection or stand …
Review on probabilistic forecasting of photovoltaic power production and electricity consumption
Abstract tAccurate forecasting simultaneously becomes more important and more
challenging due to the increasing penetration of photovoltaic (PV) systems in the built …
challenging due to the increasing penetration of photovoltaic (PV) systems in the built …
A comparative study of LSTM neural networks in forecasting day-ahead global horizontal irradiance with satellite data
S Srivastava, S Lessmann - Solar Energy, 2018 - Elsevier
Accurate forecasts of solar energy are important for photovoltaic (PV) based energy plants to
facilitate an early participation in energy auction markets and efficient resource planning …
facilitate an early participation in energy auction markets and efficient resource planning …
The real-time dynamic multi-objective optimization of a building integrated photovoltaic thermal (BIPV/T) system enhanced by phase change materials
Phase change material (PCM) is employed to enhance the thermal energy storage capacity
of a building integrated photovoltaic thermal (BIPV/T) system. For this purpose, the best …
of a building integrated photovoltaic thermal (BIPV/T) system. For this purpose, the best …
Day-ahead solar irradiance forecasting for microgrids using a long short-term memory recurrent neural network: A deep learning approach
In microgrids, forecasting solar power output is crucial for optimizing operation and reducing
the impact of uncertainty. To forecast solar power output, it is essential to forecast solar …
the impact of uncertainty. To forecast solar power output, it is essential to forecast solar …
[HTML][HTML] Wavelet-based neural network with genetic algorithm optimization for generation prediction of PV plants
C Zhang, M Zhang - Energy Reports, 2022 - Elsevier
In order to solve the problem of uncertainty of photovoltaic power generation forecast, the
prediction accuracy of photovoltaic power station power generation is further improved. In …
prediction accuracy of photovoltaic power station power generation is further improved. In …
A comprehensive review for wind, solar, and electrical load forecasting methods
Wind power, solar power, and electrical load forecasting are essential works to ensure the
safe and stable operation of the electric power system. With the increasing permeability of …
safe and stable operation of the electric power system. With the increasing permeability of …
Combining solar irradiance measurements, satellite-derived data and a numerical weather prediction model to improve intra-day solar forecasting
Isolated power systems need to generate all the electricity demand with their own renewable
resources. Among the latter, solar energy may account for a large share. However, solar …
resources. Among the latter, solar energy may account for a large share. However, solar …
[HTML][HTML] Towards cross-commodity energy-sharing communities–A review of the market, regulatory, and technical situation
Meeting the energy goals of the European Union requires new ways of managing energy.
Decentralized energy management, cross-commodity energy production and usage …
Decentralized energy management, cross-commodity energy production and usage …