We analyse in this study quite a few uncertain decision-making situations concomitant to a
pandemic spread and some of the models using grey theory to deal with such situations. We …

Construction and demolition waste reduction (C&DWR) is an important measure to protect
the environment and promote sustainable development in the construction sector. The …

In the electricity market, the accuracy of electricity price forecasting is significant for real-time
control; however, the complexity and volatility of electricity prices make this a challenge …

To achieve the national policy objectives of carbon peak and carbon neutrality, as outlined
in the 14th Five-Year Plan, it is essential to enhance resource utilization efficiency, establish …

Accurately predicting natural gas consumption is essential for developing a clean, low-
carbon, safe, and efficient energy system. Therefore, this paper integrates the idea of the …

Addressing the challenge of marine environmental pollution requires accurate forecasting
systems, yet current methods relying on artificial intelligence and big data face limitations …

Planning in the waste management is usually based on models of the expected production
of individual waste fractions in the future. Waste management is a dynamically developing …

The challenge of predicting time series with limited data has evolved over time due to
nonlinearity, complexity, and limited information. It can be perceived as a mapping of …

Introduction: In the continuous advancement of urbanization, abandoned buildings are a
huge challenge in achieving sustainable development goals. If these legacy buildings are …

A new fractional order grey prediction model is proposed for accurate forecasting of tourism
development in China. The model combines generalized fractal-fractional derivative …