Cities are increasingly advancing multiple societal goals related to environmental
sustainability, health, well‐being, and equity. However, there are few comprehensive data …

The recent studies signify the growing concern of researchers towards monitoring and
measuring sustainability performance at various levels and in many fields, including …

Electricity consumption forecasting plays an important role in investment planning of
electricity infrastructure, and in electricity production/generation and distribution. Accurate …

Blind source separation is a challenging problem in signal processing, involving the
separation of mixed signals into their individual sources. This paper introduces a novel …

As the fertility rate declines, it becomes increasingly necessary for governments to guide
power companies in introducing preferential tariffs to encourage nuclear families to have …

Electricity consumption forecasting has vital importance for the energy planning of a country.
Of the enabling machine learning models, support vector regression (SVR) has been widely …

Before you lies my Master thesis for the master Geo-Information Science at Wageningen
University & Research. Over the years, I developed a passion for combining Social Science …