With the rapid urbanization, electrical infrastructure spreads to raw areas without existing
loads. How to achieve accurate long-term load forecasts based on land use plans is a …

Recently, high rates of urbanization reveal the need for more granular approaches of long-
term load forecasting. The development of modern spatial load forecasting (SLF) methods …

The long-term distribution planning should include an understanding of consumer behavior
and needs to develop strategic expansion alternatives that meet the future demand. The …

New energy technologies such as Distributed Energy Resources (DER) will affect the spatial
and temporal patterns of electricity consumption. Models that mimic technology diffusion …

Identifying the characteristics of light interception and utilization is of great significance for
improving the potential photosynthetic activity of plants. The present research investigates …

Identifying the ideal plant nature and canopy structure is of great importance for improving
photosynthetic production and the potential action of plants. To address this challenge, an …

The partitioning of light is very difficult to assess, especially in discontinuous or irregular
canopies. The aim of the present study was to analyze the spatial distribution of …

This paper presents a novel framework for spatial electric load forecasting based on spatial
convolution, which is applied to simulate the neighbors influence in a given region. In space …

Load forecasting is an important part of power grid management. Accurate and timely load
forecasting is of great significance to formulate economical and reasonable power allocation …

The outbreak of COVID-19 has resulted in a shift in economic and social conditions. Most of
the electrical energy use is in buildings or dwellings near utility facilities. Therefore, this …