منابع مشابه
Support Vector Regression for Solar Power Prediction
Abstract In recent years, renewable energies have been covering an increasing part of the worldwide electrical power demand. The additional volatility introduced to power grids by weather dependent renewable energy sources, i.e., wind and solar, makes it necessary to improve the accuracy of energy forecasts, so that the underlying electrical grid can be operated in a cost efficient way. Governm...
متن کاملSolar Energy, Power Generation and Desalination Systems
1. Global Energy Problems and the Role of Renewables 1.1. Energy demand 1.2. Energy, environmental problems and sustainable development 1.3. Water demand and consumption 1.4. Water and energy 1.5. Desalination and energy 1.6. Renewable energy technologies 2. Solar Collectors 2.1. Parabolic trough collectors 2.2. Fresnel collectors 2.3. Parabolic dish reflector 2.4. Heliostat field collector 3. ...
متن کاملHybrid Solar-Fossil Fuel Power Generation
In this thesis, a literature review of hybrid solar-fossil fuel power generation is first given with an emphasis on system integration and evaluation. Hybrid systems are defined as those which use solar energy and fuel simultaneously, thus excluding the viable alternative of solar thermal plants which use fossil fuels as backup. The review is divided into three main sections: performance metric...
متن کاملSolar Pv-wind Hybrid Power Generation System
Renewable energy sources i.e.,energy generated from solar, wind, biomass, hydro power, geothermal and ocean resources are considered as a technological option for generating clean energy. But the energy generated from solar and wind is much less than the production by fossil fuels, however, electricity generation by utilizing PV cells and wind turbine increased rapidly in recent years. This pap...
متن کاملPrediction of Output Solar Power Generation Using Neural Network Time Series Method
Artificial neural networks (ANN) are used for many years to optimize the results of various problems in various sectors and disciplines like, Engineering, Industrial applications, Finance, Medical applications, Economy, Forecasts, etc. The training ability of ANN has capability to deal with nonlinear and complicated issues termed for its utilization to solve projection troubles. In this paper w...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advances in computer science research
سال: 2023
ISSN: ['2352-538X']
DOI: https://doi.org/10.2991/978-94-6463-136-4_44