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Author: Lanouar Charfeddine Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
Accurately modelling and forecasting electricity consumption is a key prerequisite for strategic sustainable energy planning and development. In this study, we use four advanced econometrics time series models and four machine learning (ML) and deep learning models including an AR with seasonality, ARX, ARFIMAX, 3S-MSARX, Prophet, XGBoost, LSTM and SVR to analyze and forecast electricity consumption during COVID-19 pre-lockdown, lockdown, releasing-lockdown, and post-lockdown phases. We use monthly data on Qatar's total electricity consumption from January 2010 to December 2021. The empirical findings demonstrate that both econometric and ML models can capture most of the important statistical features characterizing electricity consumption (e.g., seasonality, sudden changes, outliers, trend, and potential long-lasting impact of shocks). In particular, we find that climate change based factors, e.g temperature, rainfall, mean sea-level pressure and wind speed, are key determinants of electricity consumption. In terms of forecasting, the results indicate that the ARFIMAX(1,d,0) and the 3S-MSARX(1) models outperform all other models. Policy implications and energy-environmental recommendations are proposed and discussed.
Author: Lanouar Charfeddine Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
Accurately modelling and forecasting electricity consumption is a key prerequisite for strategic sustainable energy planning and development. In this study, we use four advanced econometrics time series models and four machine learning (ML) and deep learning models including an AR with seasonality, ARX, ARFIMAX, 3S-MSARX, Prophet, XGBoost, LSTM and SVR to analyze and forecast electricity consumption during COVID-19 pre-lockdown, lockdown, releasing-lockdown, and post-lockdown phases. We use monthly data on Qatar's total electricity consumption from January 2010 to December 2021. The empirical findings demonstrate that both econometric and ML models can capture most of the important statistical features characterizing electricity consumption (e.g., seasonality, sudden changes, outliers, trend, and potential long-lasting impact of shocks). In particular, we find that climate change based factors, e.g temperature, rainfall, mean sea-level pressure and wind speed, are key determinants of electricity consumption. In terms of forecasting, the results indicate that the ARFIMAX(1,d,0) and the 3S-MSARX(1) models outperform all other models. Policy implications and energy-environmental recommendations are proposed and discussed.
Author: Ibrahim Arpaci Publisher: Springer Nature ISBN: 3030677168 Category : Technology & Engineering Languages : en Pages : 385
Book Description
This book tackles the recent research directions in using the newly emerged technologies during the era of COVID-19 pandemic. It mainly focuses on using emerging technologies and their impact on health care, education, and society. It also provides insights into the current challenges and constraints in using technologies during the era of COVID-19 pandemic and exposes new opportunities for future research in the domain.
Author: John H. Goldthorpe Publisher: Oxford University Press, USA ISBN: 0198295723 Category : Social Science Languages : en Pages : 347
Book Description
This book is intended for scholars and students of sociology, social science methodology, business, economics, and social researchers.
Author: Yves Croissant Publisher: John Wiley & Sons ISBN: 1118949188 Category : Mathematics Languages : en Pages : 328
Book Description
Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with examples in econometrics, political science, agriculture and epidemiology, this book presents classic methodology and applications as well as more advanced topics and recent developments in this field including error component models, spatial panels and dynamic models. They have developed the software programming in R and host replicable material on the book’s accompanying website.
Author: National Intelligence Council Publisher: Cosimo Reports ISBN: 9781646794973 Category : Languages : en Pages : 158
Book Description
"The ongoing COVID-19 pandemic marks the most significant, singular global disruption since World War II, with health, economic, political, and security implications that will ripple for years to come." -Global Trends 2040 (2021) Global Trends 2040-A More Contested World (2021), released by the US National Intelligence Council, is the latest report in its series of reports starting in 1997 about megatrends and the world's future. This report, strongly influenced by the COVID-19 pandemic, paints a bleak picture of the future and describes a contested, fragmented and turbulent world. It specifically discusses the four main trends that will shape tomorrow's world: - Demographics-by 2040, 1.4 billion people will be added mostly in Africa and South Asia. - Economics-increased government debt and concentrated economic power will escalate problems for the poor and middleclass. - Climate-a hotter world will increase water, food, and health insecurity. - Technology-the emergence of new technologies could both solve and cause problems for human life. Students of trends, policymakers, entrepreneurs, academics, journalists and anyone eager for a glimpse into the next decades, will find this report, with colored graphs, essential reading.
Author: Farhad Taghizadeh-Hesary Publisher: Springer Nature ISBN: 9811967784 Category : Business & Economics Languages : en Pages : 970
Book Description
The Handbook of Energy Policy is a unique and novel reference for addressing the policy implications of energy demand and supply from their economic, political, social, planning, and environmental aspects. The Handbook of Energy Policy provides several studies from the global, regional, national, or local perspectives that are of wider policy significance. Studies provided in this book are of interest to the international organizations, governments, public and private sector entities, local communities, universities, research institutions, and other non-governmental organizations. Topics covered in the Handbook of Energy Policy are including energy security, energy poverty, energy finance, energy pricing, energy and environment, energy and sustainability, energy and growth, energy efficiency, energy trade, technological innovation and energy, energy transition, energy nexus studies, economics, and policy of fossil fuels, economics, and policy of renewable and green energies. The policy recommendations provided in all chapters are supported by a rigorous empirical or theoretical analysis.
Author: El Bachir Boukherouaa Publisher: International Monetary Fund ISBN: 1589063953 Category : Business & Economics Languages : en Pages : 35
Book Description
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
Author: Stéphane Goutte Publisher: Springer Nature ISBN: 3030714039 Category : Business & Economics Languages : en Pages : 150
Book Description
This book presents research related to energy and environmental technologies in the context of market liberalization and global warming. It focuses on the development and efficient use of alternative energy sources, implementation of sustainable energy policies, power generation, and energy finance. Advances in Managing Energy and Climate Risks provides readers with the necessary information to use energy sources more efficiently, discover cleaner energy sources and their applications, and urge consumers and producers to make changes to reach a carbon-neutral economy through financial, technological, regulatory and tax incentives.
Author: Wolfgang Wörndl Publisher: Springer Nature ISBN: 303065785X Category : Business & Economics Languages : en Pages : 587
Book Description
This open access book is the proceedings of the International Federation for IT and Travel & Tourism (IFITT)’s 28th Annual International eTourism Conference, which assembles the latest research presented at the ENTER21@yourplace virtual conference January 19–22, 2021. This book advances the current knowledge base of information and communication technologies and tourism in the areas of social media and sharing economy, technology including AI-driven technologies, research related to destination management and innovations, COVID-19 repercussions, and others. Readers will find a wealth of state-of-the-art insights, ideas, and case studies on how information and communication technologies can be applied in travel and tourism as we encounter new opportunities and challenges in an unpredictable world.
Author: Lanouar Charfeddine
Author: Lanouar Charfeddine
Author: Ibrahim Arpaci
Author: John H. Goldthorpe
Author: Yves Croissant
Author: National Intelligence Council
Author: Farhad Taghizadeh-Hesary
Author: El Bachir Boukherouaa
Author: Stéphane Goutte
Author: Wolfgang Wörndl
Author: Lydia Gimenez-Llort