A hybrid framework for forecasting power generation of multiple renewable energy sources

J Zheng, J Du, B Wang, JJ Klemeš, Q Liao… - … and Sustainable Energy …, 2023 - Elsevier
The accurate power generation forecast of multiple renewable energy sources is significant
for the power scheduling of renewable energy systems. However, previous studies focused …

[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 …

Digital data sources and methods for conservation culturomics

RA Correia, R Ladle, I Jarić, ACM Malhado… - Conservation …, 2021 - Wiley Online Library
Ongoing loss of biological diversity is primarily the result of unsustainable human behavior.
Thus, the long‐term success of biodiversity conservation depends on a thorough …

[图书][B] The analysis of time series: an introduction with R

C Chatfield, H Xing - 2019 - taylorfrancis.com
This new edition of this classic title, now in its seventh edition, presents a balanced and
comprehensive introduction to the theory, implementation, and practice of time series …

Trend analysis of MODIS NDVI time series for detecting land degradation and regeneration in Mongolia

S Eckert, F Hüsler, H Liniger, E Hodel - Journal of Arid Environments, 2015 - Elsevier
This study examines whether MODIS NDVI satellite data time series can be used to detect
land degradation and regeneration areas in Mongolia. Time series analysis was applied to …

Time series analysis for psychological research: examining and forecasting change

AT Jebb, L Tay, W Wang, Q Huang - Frontiers in psychology, 2015 - frontiersin.org
Psychological research has increasingly recognized the importance of integrating temporal
dynamics into its theories, and innovations in longitudinal designs and analyses have …

[图书][B] Measuring well-being: Interdisciplinary perspectives from the social sciences and the humanities

MT Lee, LD Kubzansky, TJ VanderWeele - 2021 - books.google.com
This edited volume focuses on both conceptual and practical challenges in measuring well-
being. Leveraging insights across diverse disciplines, including psychology, economics …

[图书][B] Data mining with Rattle and R: The art of excavating data for knowledge discovery

G Williams - 2011 - books.google.com
Data mining is the art and science of intelligent data analysis. By building knowledge from
information, data mining adds considerable value to the ever increasing stores of electronic …

Climate time series analysis

M Mudelsee - Atmospheric and, 2010 - Springer
This is the second edition of Climate Time Series Analysis which was first published in 2010.
In this digital age, a second edition means not that the first edition of a book has been sold …

Understanding and using time series analyses in addiction research

E Beard, J Marsden, J Brown, I Tombor, J Stapleton… - …, 2019 - Wiley Online Library
Time series analyses are statistical methods used to assess trends in repeated
measurements taken at regular intervals and their associations with other trends or events …