AdS dynamics for massive scalar field is studied both by solving exactly the equation of motion and by constructing bulk-boundary propagator. A Robertson-Walkerlike metric is deduced from the familiar SO(2, n) invariant metric. The metric allows us to present a time-like Killing vector, which is not only invariant under space-like transformations but also invariant under the isometric transform...

Autonomous photovoltaic panels are intermittent sustainable energy sources which require energy storage to balance generation and demand, as photovoltaic generation is time and weather dependent. Traditionally batteries are the most common storage technology for photovoltaic systems. Photovoltaic batteries can encounter extended periods of low State of Charge (SOC), resulting in sulphation and ...

This paper presents comparative analysis of photovoltaic systems (PVS) and propose practical techniques to improve operational efficiency of the PVS. The best engineering and construction practices for PVS are identified and field oriented recommendation are made. Comparative analysis of central and string inverter based, as well as 600 and 1000VDC PVS are performed. In addition, direct current...

Photovoltaic power generation forecasting is an important task in renewable energy power system planning and operating. This paper explores the application of neural networks (NN) to study the design of photovoltaic power generation forecasting systems for one week ahead using weather databases include the global irradiance, and temperature of Ghardaia city (south of Algeria) using a data acqui...

Solar energy is one of the important renewable energy available. The efficient usage of solar energy can yield better power output which can be used as an alternate fuel for conventional energy sources. The Photovoltaic cells are used to generate power from solar energy. In this paper we have dealt with the modelling and analysis of photovoltaic cells with varying temperature values of differen...

This work proposes an Artificial Neural Network (ANN) able to provide accurate forecasting of power produced by photovoltaic (PV) plants. The ANN is customized on the basis particular season year. An analysis input variables, i.e., solar irradiance, temperature and air humidity, carried out means Pearson Correlation, has allowed select, day day, most suitable set inputs architecture also reduce...