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Related papers: Day-Ahead PV Power Forecasting Based on MSTL-TFT

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Accurate and reliable prediction of Photovoltaic (PV) power output is critical to electricity grid stability and power dispatching capabilities. However, Photovoltaic (PV) power generation is highly volatile and unstable due to different…

Machine Learning · Computer Science 2022-10-04 Sarah Almaghrabi , Mashud Rana , Margaret Hamilton , Mohammad Saiedur Rahaman

Regional solar power forecasting, which involves predicting the total power generation from all rooftop photovoltaic systems in a region holds significant importance for various stakeholders in the energy sector. However, the vast amount of…

Machine Learning · Computer Science 2024-03-05 Maneesha Perera , Julian De Hoog , Kasun Bandara , Damith Senanayake , Saman Halgamuge

The prediction of solar irradiance enhances reliability in photovoltaic (PV) solar plant generation and grid integration. In Colombia, PV plants face penalties if energy production deviates beyond governmental thresholds from intraday…

We present a novel framework for spatiotemporal photovoltaic (PV) power forecasting and use it to evaluate the reliability, sharpness, and overall performance of seven intraday PV power nowcasting models. The model suite includes…

Machine Learning · Computer Science 2026-01-09 Luca Lanzilao , Angela Meyer

With the recent interest in net-zero sustainability for commercial buildings, integration of photovoltaic (PV) assets becomes even more important. This integration remains a challenge due to high solar variability and uncertainty in the…

Systems and Control · Computer Science 2018-08-28 Chaitanya Poolla , Abraham K. Ishihara

Accurate photovoltaic (PV) power forecasting is critical for integrating renewable energy sources into the grid, optimizing real-time energy management, and ensuring energy reliability amidst increasing demand. However, existing models…

Machine Learning · Computer Science 2025-05-08 Guang Wu , Yun Wang , Qian Zhou , Ziyang Zhang

Integrated wind-solar-wave marine energy systems hold broad promise for supplying clean electricity in offshore and coastal regions. By leveraging the spatiotemporal complementarity of multiple resources, such systems can effectively…

Machine Learning · Computer Science 2025-10-01 Baoyi Xie , Shuiling Shi , Wenqi Liu

With increasing concerns of climate change, renewable resources such as photovoltaic (PV) have gained popularity as a means of energy generation. The smooth integration of such resources in power system operations is enabled by accurate…

Applications · Statistics 2021-03-30 Fatemeh Najibi , Dimitra Apostolopoulou , Eduardo Alonso

In the probabilistic energy forecasting literature, emphasis is mainly placed on deriving marginal predictive densities for which each random variable is dealt with individually. Such marginals description is sufficient for power systems…

Applications · Statistics 2016-03-23 Faranak Golestaneh , Pierre Pinson , Hoay Beng Gooi

The uncertainty associated with solar photo-voltaic (PV) power output is a big challenge to design, manage and implement effective demand response and management strategies. Therefore, an accurate PV power output forecast is an utmost…

Signal Processing · Electrical Eng. & Systems 2018-11-26 Muhammad Qamar Raza , N. Mithulananthan , Jiaming Li , Kwang Y. Lee , Hoay Beng Gooi

Renewable Energies (RES) penetration is progressing rapidly: in France, the installed capacity of photovoltaic (PV) power rose from 26MW in 2007 to 8GW in 2017 [1]. Power generated by PV plants being highly dependent on variable weather…

Applications · Statistics 2019-10-15 Kevin Bellinguer , Robin Girard , Guillaume Bontron , Georges Kariniotakis

Photovoltaic (PV) power forecasting plays a critical role in power system dispatch and market participation. Because PV generation is highly sensitive to weather conditions and cloud motion, accurate forecasting requires effective modeling…

Artificial Intelligence · Computer Science 2026-04-07 Hang Fan , Haoran Pei , Runze Liang , Weican Liu , Long Cheng , Wei Wei

Photovoltaic (PV) systems depend on irradiance, ambient temperature and module temperature. A solar eclipse causes significant changes in these parameters, thereby impacting PV generation profile, performance, and power quality of larger…

Signal Processing · Electrical Eng. & Systems 2019-05-29 Aditya Sundararajan , Temitayo O. Olowu , Longfei Wei , Shahinur Rahman , Arif I. Sarwat

The rapid proliferation of solar energy has significantly expedited the integration of photovoltaic (PV) systems into contemporary power grids. Considering that the cloud dynamics frequently induce rapid fluctuations in solar irradiance,…

Signal Processing · Electrical Eng. & Systems 2025-04-21 Huapeng Lin , Miao Yu

Solar photovoltaic power generation has achieved grid parity in a number of countries during the last decade. This revolution has begun in countries where the solar radiation intensity is not very high. Solar resource maps created by a…

Physics and Society · Physics 2017-10-12 B. Ravindra

When cloud layers cover photovoltaic (PV) panels, the amount of power the panels produce fluctuates rapidly. Therefore, to maintain enough energy on a power grid to match demand, utilities companies rely on reserve power sources that…

Renewable sources of energy are the future due to the environmental problems caused by non-renewable sources to produce energy. The biggest issue with renewable energy sources is that the power produced by devices such as PV solar panels…

Signal Processing · Electrical Eng. & Systems 2022-10-24 Rohaib Bhatti , Ali John Naqvi , Abdullah Tauqeer

Electricity generated from renewable energy sources has been established as an efficient remedy for both energy shortages and the environmental pollution stemming from conventional energy production methods. Solar and wind power are two of…

Machine Learning · Computer Science 2025-01-06 Charalampos Symeonidis , Nikos Nikolaidis

Solar energy is a clean and renewable energy. Photovoltaic (PV) power is an important way to utilize solar energy. Accurate PV power forecast is crucial to the large-scale application of PV power and the stability of electricity grid. This…

Machine Learning · Computer Science 2021-07-06 Mingliang Bai , Xinyu Zhao , Zhenhua Long , Jinfu Liu , Daren Yu

Accurate forecasts of photovoltaic power generation (PVPG) are essential to optimize operations between energy supply and demand. Recently, the propagation of sensors and smart meters has produced an enormous volume of data, which supports…

Machine Learning · Computer Science 2022-06-14 Xing Luo , Dongxiao Zhang