Results 221 to 230 of about 1,108 (256)

Solar irradiance forecasting by machine learning for solar car races

2016 IEEE International Conference on Big Data (Big Data), 2016
Solar car race competitions offer realistic conditions to test and demonstrate the state-of-the-art technologies in multidisciplinary fields. In such races the solar panels mounted on the car produce the energy required to power the vehicle. A simulator runs during the race determines the optimal race speed based on the predicted availability of solar ...
Xiaoyan Shao, Siyuan Lu 0003, Theodore G. van Kessel, Hendrik F. Hamann, Leda Daehler, Jeffrey Cwagenberg, Alan Li   +6 more
openaire   +1 more source

Short-term forecasting of solar irradiance

Renewable Energy, 2019
Abstract Five statistical models for nowcasting solar irradiance are evaluated from different perspectives. The first four models are purely statistical ones: random walk, moving average, exponential smoothing and autoregressive integrated moving average. These models can be considered as benchmarks of different levels of complexity.
Marius Paulescu, Eugenia Paulescu
openaire   +1 more source

Spatio-Temporal Distributed Solar Irradiance and Temperature Forecasting

2020 International Joint Conference on Neural Networks (IJCNN), 2020
Integration of large-scale renewable energy plants to the power system is a challenge as the power generation is variable, and energy management systems require accurate prediction of weather parameters applicable to the sustainable generation of the renewable resources.
Chirath Pathiravasam, Paranietharan Arunagirinathan, Iroshani Jayawardene, Ganesh K. Venayagamoorthy, Yongqiang Wang   +4 more
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Solar irradiance forecast system based on geostationary satellite

2013 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2013
Solar irradiance variability, left unmitigated, will threat the stability of grid system, and might incur significant economical impacts. This paper focuses on a pipeline to predict solar irradiance from 30 minutes to 5 hours using geostationary satellite.
Zhenzhou Peng, Shinjae Yoo, Dantong Yu, Dong Huang   +3 more
openaire   +1 more source

Solar irradiance forecasting by using wavelet based denoising

2014 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES), 2014
Predicting of global solar irradiance is very important in applications using solar energy resources. This research introduces a new methodology to estimate the solar irradiance. Denoising based on wavelet transformation as a preprocessing step is applied to the time series meteorological data.
Lingyu Lyu, Mehmed M. Kantardzic, Elaheh Arabmakki   +2 more
openaire   +1 more source

Forecasting Solar Irradiance Using Machine Learning

2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI), 2020
Renewable energy is becoming a very popular source for power generation nowadays. In the context of Bangladesh, solar energy has become the most prospective renewable resource for which solar irradiance is a very important parameter. Being able to forecast the solar irradiance accurately can facilitate efficient design of any solar power plant. In this
Md. Burhan Uddin Shahin, Antu Sarkar, Tishna Sabrina, Shaati Roy   +3 more
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Forecasting of solar irradiance for solar power plants by artificial neural network

2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA), 2015
This paper presents solar irradiance forecasting in Mae Sariang, Mae Hongson Province, Thailand which has a solar power plant. This solar power plan is a photovoltaic (PV) with capacity power output at 4 MW. However, the adoption of solar irradiance as a power source on a global scale has not been uniform, due to by meteorological conditions, which ...
S. Watetakarn, Suttichai Premrudeepreechacharn   +1 more
openaire   +1 more source

Hourly Solar Irradiance Forecasting Based on Machine Learning Models

2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), 2016
In recent years, many research studies are conducted into the use of smart meters data for developing decision-making tools including both analytical, forecasting and display purposes. Forecasting energy generation or forecasting energy consumption demand are indeed central problems for urban stakeholders (electricity companies and urban planners ...
Melzi, Fateh Nassim, Touati, Taieb, Same, Allou, Oukhellou, Latifa   +3 more
openaire   +2 more sources

An ensemble-in-time forecast of solar irradiance

RE&PQJ
The increment of solar energy production requires an accurate estimation of surface solar irradiance. A forecast of surface solar irradiance allows estimate the energy production, and therefore minimizes the fluctuations in the electric grid supply.
null D. Díaz, null J.A. Souto, null A. Rodríguez, null S. Saavedra, null J.J. Casares   +4 more
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Solar Irradiance Forecasting Using Machine Learning

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023
Sahaya Lenin D, Ravi Teja Reddy, Vijay Velaga   +2 more
openaire   +1 more source