The ever growing human population and the corresponding economic development of
mankind have caused a relentless surge in the energy demand of the world. The fast …

Vehicle speed prediction provides important information for many intelligent vehicular and
transportation applications. Accurate on-road vehicle speed prediction is challenging …

Time series data are data which are taken in a particular time interval, and may vary
drastically during the period of observation and hence it becomes highly nonlinear. Stock …

Abstract Distribution System Operators (DSOs) and Aggregators benefit from novel Energy
Generation Forecasting (EGF) approaches. Improved forecasting accuracy may make it …

Vehicle velocity prediction is of great significance in electric vehicle (EV) energy
consumption evaluation. However, vehicle velocity prediction is complicated due to the …

Railroad condition monitoring is paramount due to frequent passage through densely
populated regions. This significance arises from the potential consequences of accidents …

With the progressive ageing of the population, the study of the relations between road safety
and elderly users is becoming increasingly relevant. Although the decline of pedestrian …

Vehicle speed prediction is quite essential for many intelligent vehicular and transportation
applications. Accurate on‐road vehicle speed prediction is challenging because individual …

Load forecast provides effective and reliable guidance for power construction and grid
operation. It is essential for the power utility to forecast the exact in-future coming energy …

In order to improve the performance of predictive energy management strategies (PEMS), a
novel neural network based vehicle velocity prediction strategy (NN-VVP) was proposed …