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This paper focuses on electricity load forecasting of large-scale electrical grid. The smart grid is developing rapidly in the half-decade; it becomes the new goal of electricity industrial construction. Stability, reliable, flexible and self-cure are the main electricity characters, and accuracy forecasting power load play an important role in this process of smart construction. In this paper, we take Estonia country power load as a case, convert the load data to supervised learning data, and then use long short-term memory (LSTM) recurrent network do training model and forecasting. The experiment demonstrates the method is efficient, and compared with support vector regressive (SVR), LSTM could extract the feature of power load better accuracy and obtain the better performance of forecasting. The result can help national grid planning.

The troposphere and lower stratosphere (TLS) is an active region with atmospheric fluctuations. Some works concerning the dynamical and thermal structures and inertial gravity wave (IGW) activities in the TLS from the radiosonde observation have been reported. Wuhan atmosphere radio exploration (WARE) radar is the first Mesosphere-Stratosphere-Troposphere (MST) radar to have become operative in the mainland of China and is dedicated to real-time atmospheric observations. In this paper, some cases about IGWs detected from three-dimensional wind field data of the WARE radar are presented. The intrinsic frequencies, vertical wavelengths, horizontal wavelengths, vertical wavenumber spectra, energy density are calculated and analyzed. By calculating the vertical shear of horizontal and vertical wind, the Brunt-Vaisala frequency, and the Richardson number, the potential wave sources are also discussed.

The Wuhan atmosphere radio exploration (WARE) radar is one of the significant facilities of the Meridian Space Weather Monitoring Project of China and dedicated to real-time atmospheric observations. We compare the Wuhan MST radar wind data (3–25 km) with the simultaneous radiosonde data and the temperature data computed from NRLMSISE00 models. Our results show good agreement between the wind field data from Wuhan MST radar and from the GPS radiosonde. The tropopause heights determined by the three methods are close to each other. In terms of the structure constant of atmospheric refractive index Wuhan MST radar gives a height of 15–16.5 km, the GPS radiosonde temperature profile reads that of 16.5–17 km, and NRLMSISE00 modeling computes a value of 16.2 km. Current work indicates that the WAER radar is operative and its data are reliable.