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Forecasting electricity prices is a challenging task and an active area of research since the 1990s and the deregulation of the traditionally monopolistic and government-controlled power sectors. Although it aims at predicting both spot and…

Statistical Finance · Quantitative Finance 2025-07-23 Katarzyna Maciejowska , Bartosz Uniejewski , Rafał Weron

The increasing use of renewable energy sources with variable output, such as solar photovoltaic and wind power generation, calls for Smart Grids that effectively manage flexible loads and energy storage. The ability to forecast consumption…

Machine Learning · Computer Science 2014-04-02 Andreas Veit , Christoph Goebel , Rohit Tidke , Christoph Doblander , Hans-Arno Jacobsen

Earth, water, air, food, shelter and energy are essential factors required for human being to survive on the planet. Among this energy plays a key role in our day to day living including giving lighting, cooling and heating of shelter,…

Other Computer Science · Computer Science 2015-12-21 Anshul Bansal , Susheel Kaushik Rompikuntla , Jaganadh Gopinadhan , Amanpreet Kaur , Zahoor Ahamed Kazi

Energy is a critical driver of modern economic systems. Accurate energy price forecasting plays an important role in supporting decision-making at various levels, from operational purchasing decisions at individual business organizations to…

Machine Learning · Computer Science 2024-11-07 Alexandru-Victor Andrei , Georg Velev , Filip-Mihai Toma , Daniel Traian Pele , Stefan Lessmann

The power system is undergoing rapid evolution with the roll-out of advanced metering infrastructure and local energy applications (e.g. electric vehicles) as well as the increasing penetration of intermittent renewable energy at both…

Systems and Control · Electrical Eng. & Systems 2021-08-04 Shuang Dai , Fanlin Meng , Hongsheng Dai , Qian Wang , Xizhong Chen

Power demand forecasting is a critical task for achieving efficiency and reliability in power grid operation. Accurate forecasting allows grid operators to better maintain the balance of supply and demand as well as to optimize operational…

Other Computer Science · Computer Science 2019-04-30 Yao Cheng , Chang Xu , Daisuke Mashima , Vrizlynn L. L. Thing , Yongdong Wu

Electricity demand forecasting is a well established research field. Usually this task is performed considering historical loads, weather forecasts, calendar information and known major events. Recently attention has been given on the…

Machine Learning · Computer Science 2023-09-14 Yun Bai , Simon Camal , Andrea Michiorri

Analysing research trends and predicting their impact on academia and industry is crucial to gain a deeper understanding of the advances in a research field and to inform critical decisions about research funding and technology adoption. In…

Digital Libraries · Computer Science 2021-06-25 Angelo Salatino , Andrea Mannocci , Francesco Osborne

The energy sector is experiencing rapid transformation due to increasing renewable energy integration, decentralisation of power systems, and a heightened focus on efficiency and sustainability. With energy demand becoming increasingly…

The relationship between electricity demand and weather is well established in power systems, along with the importance of behavioral and social aspects such as holidays and significant events. This study explores the link between…

Computation and Language · Computer Science 2024-01-31 Yun Bai , Simon Camal , Andrea Michiorri

With the growing popularity of electric vehicles as a means of addressing climate change, concerns have emerged regarding their impact on electric grid management. As a result, predicting EV charging demand has become a timely and important…

Machine Learning · Computer Science 2026-04-01 Iason Kyriakopoulos , Yannis Theodoridis

Due to growing population and technological advances, global electricity consumption, and consequently also CO2 emissions are increasing. The residential sector makes up 25% of global electricity consumption and has great potential to…

Machine Learning · Computer Science 2025-04-15 Vid Hanžel , Blaž Bertalanič , Carolina Fortuna

This bibliometric study of a large publication set dealing with research on climate change aims at mapping the relevant literature from a bibliometric perspective and presents a multitude of quantitative data: (1) The growth of the overall…

Digital Libraries · Computer Science 2016-08-03 Robin Haunschild , Lutz Bornmann , Werner Marx

We explore the application of kernel-based multi-task learning techniques to forecast the demand of electricity in multiple nodes of a distribution network. We show that recently developed output kernel learning techniques are particularly…

Machine Learning · Computer Science 2015-12-29 Jean-Baptiste Fiot , Francesco Dinuzzo

The paper presents a bibliometric analysis on the topic of Information Technology (IT) in the field of Educational Sciences, aimed at envisioning the research emerging trends. The ERIC data base is used as a consultation source; the results…

Digital Libraries · Computer Science 2015-09-15 C. L. González-Valiente

Communication networks, in general, and internet technology, in particular, is a fast-evolving area of research. While it is important to keep track of emerging trends in this domain, it is such a fast-growing area that it can be very…

Digital Libraries · Computer Science 2017-08-03 Bisma S. Khan , Muaz A. Niazi

In this research, we propose a method to trace scientists' research trends realtimely. By monitoring the downloads of scientific articles in the journal of Scientometrics for 744 hours, namely one month, we investigate the download…

Digital Libraries · Computer Science 2013-04-30 Xianwen Wang , Zhi Wang , Shenmeng Xu

The journal Energy Economics, a leading international peer-reviewed outlet for economic theory in the energy sector, celebrates its 45th anniversary in 2024. This article uses a bibliometric approach to present a retrospective of the…

We perform a statistical analysis of scientific-publication data with a goal to provide quantitative analysis of scientific process. Such an investigation belongs to the newly established field of scientometrics: a branch of the general…

Digital Libraries · Computer Science 2020-03-24 Olesya Mryglod , Yurij Holovatch , Ralph Kenna

The smart metering infrastructure has changed how electricity is measured in both residential and industrial application. The large amount of data collected by smart meter per day provides a huge potential for analytics to support the…

Machine Learning · Computer Science 2019-05-31 Nameer Al Khafaf , Mahdi Jalili , Peter Sokolowski
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