Traffic flow analysis, prediction and management are keystones for building smart cities in
the new era. With the help of deep neural networks and big traffic data, we can better …

A microgrid can integrate distributed energy resources for satisfying load demand,
moreover, solve reliability, safety and environment issues. Spinning reserves in microgrid …

Our daily lives are greatly impacted by traffic conditions, making it essential to have accurate
predictions of traffic flow within a road network. Traffic signals used for forecasting are …

In this paper, the first study using exponential smoothing methods and the Box-Jenkins
method for forecasting consumer potato prices in Turkey is conducted. The exponential …

Existing works in photovoltaic (PV) power generation focus on accurately predicting the PV
power output on a forecast horizon. As the solar power generation is heavily influenced by …

Time-series-based forecasting is essential to determine how past events affect future events.
This paper compares the performance accuracy of different time-series models for oil prices …

Since its inauguration, the Belt and Road (B&R) Initiative has gained tremendous popularity
and become one of great potential international cooperation platforms. Sustainable …

The relentless spread of photovoltaic production drives searches of smart approaches to
mitigate unbalances in power demand and supply, instability on the grid and ensuring stable …

Kinerja keuangan suatu perusahaan dapat diprediksi dengan menggunakan berbagai
metode, salah satunya adalah regresi linear dan exponential smoothing. Penelitian ini …

Purpose: The main goal of this study is to exact an optimal forecasting method by answering
the research question: which is the best model for capturing short-term seasonal …