[HTML][HTML] Forecasting: theory and practice

F Petropoulos, D Apiletti, V Assimakopoulos… - International Journal of …, 2022 - Elsevier
Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

[PDF][PDF] Methods and models for electric load forecasting: a comprehensive review

MA Hammad, B Jereb, B Rosi… - Logist. Sustain …, 2020 - intapi.sciendo.com
Electric load forecasting (ELF) is a vital process in the planning of the electricity industry and
plays a crucial role in electric capacity scheduling and power systems management and …

Exploring the sustainability performances of firms using environmental, social, and governance scores

R Rajesh - Journal of Cleaner Production, 2020 - Elsevier
Sustainability enables the present supply chains to stabilize their gains, particularly for those
operating in developing economies. Considering the literature on sustainability and supply …

Time series analysis and long short-term memory neural network to predict landslide displacement

B Yang, K Yin, S Lacasse, Z Liu - Landslides, 2019 - Springer
A good prediction of landslide displacement is an essential component for implementing an
early warning system. In the Three Gorges Reservoir Area (TGRA), many landslides deform …

Grey data analysis

S Liu, Y Yang, J Forrest - Springer Singapore, Singapore, Doi, 2017 - Springer
In this book, we answer the calls of the readers of our previous publications and
systematically present the main advances in grey system theory and applications. By …

Landslide displacement forecasting using deep learning and monitoring data across selected sites

L Nava, E Carraro, C Reyes-Carmona, S Puliero… - Landslides, 2023 - Springer
Accurate early warning systems for landslides are a reliable risk-reduction strategy that may
significantly reduce fatalities and economic losses. Several machine learning methods have …

Prediction and evaluation of greenhouse gas emissions for sustainable road transport within Europe

Y Kazancoglu, M Ozbiltekin-Pala… - Sustainable Cities and …, 2021 - Elsevier
Environmental pollution leads a rise in sustainable development problems. Greenhouse
gases (GHG) are one of the most important barriers against to sustainable development and …

Grey system model with the fractional order accumulation

L Wu, S Liu, L Yao, S Yan, D Liu - Communications in Nonlinear Science …, 2013 - Elsevier
The perturbation theory of least squares method is applied to explain why the traditional
accumulated generating operator violates the principle of new information priority of Grey …

An online optimal dispatch schedule for CCHP microgrids based on model predictive control

W Gu, Z Wang, Z Wu, Z Luo, Y Tang… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Combined cooling, heating, and power (CCHP) systems have been widely applied in
various kinds of buildings. Most operation strategies for CCHP microgrids are designed …

A state-of-art-review on machine-learning based methods for PV

GM Tina, C Ventura, S Ferlito, S De Vito - Applied Sciences, 2021 - mdpi.com
In the current era, Artificial Intelligence (AI) is becoming increasingly pervasive with
applications in several applicative fields effectively changing our daily life. In this scenario …