PVPF tool: an automatedWeb application for real-time photovoltaic power forecasting

Abstract

In this paper, we propose a fully automated machine learning based forecasting system, called Photovoltaic Power Forecasting (PVPF) tool, that applies optimised neural networks algorithms to real-time weather data to provide 24 hours ahead forecasts for the power production of solar photovoltaic systems installed within the same region. This system imports the real-time temperature and global solar irradiance records from the ASU weather station and associates these records with the available solar PV production measurements to provide the proper inputs for the pre-trained machine learning system along with the records' time with respect to the current year. The machine learning system was pre-trained and optimised based on the Bayesian Regularization (BR) algorithm, as described in our previous research, and used to predict the solar power PV production for the next 24 hours using weather data of the last five consecutive days. Hourly predictions are provided as a power/time curve and published in real-time at the website of the renewable energy center (REC) of Applied Science Private University (ASU). It is believed that the forecasts provided by the PVPF tool can be helpful for energy management and control systems and will be used widely for the future research activities at REC.

Design and implementation of an I-V curvetracer dedicated to characterize PV panels

“…The solar cell is a nonlinear device [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] and can be represented as a current source model, as shown in Figure 1. In our case, a photovoltaic panel is constituted of 36 solar polycrystalline cells in series (Kyocera LA 361 K51) tilted at 35° angle facing south.…”

“…PV panel is characterized by its current-voltage (I-V) curve. Different models of solar cells were presented in literature [3][4][5][6][7][8][9][10]. The relationship of current -voltage (I-V) for a photovoltaic panel is [11,12]:…”

Solar powered peltier cooling storage for vaccines in rural areas

“…These parts of Africa very seldom have access to electricity; thus, they cannot use a standard fridge [9][10][11]. The numerous improvements to renewable energytechnology, particularly solar energy harnessing and conversion into electrical energyby means of PV panels [12][13][14][15][16][17][18][19][20][21], brings about a good opportunity to arrst the grand challenge of electrical energy in rural areas. This being opportunity to solve not only the challenge of vaccine storage but extends to several other thermoelectric applications [22][23][24][25][26][27][28].…”

Optimal parameters of inverter-based microgrid to improve transient response

“…Renewable sources are used in microgrids to optimize the power supply and reduce the cost of electricity production [8,9]. Two of the most used renewable energies are photovoltaic panels [10,11] and wind turbines. These types of power sources require power electronics such as inverters [12][13][14] to interconnect with the microgrids [15]; thus, the inverter control must be properly adjusted to avoid undesired transient responses [16].…”