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Fahad Radhi Alharbi and Denes Csala
Time series modeling is an effective approach for studying and analyzing the future performance of the power sector based on historical data. This study proposes a forecasting framework that applies a seasonal autoregressive integrated moving average wit...
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Desen Kirli, Maximilian Parzen and Aristides Kiprakis
The outbreak of SARS-COV-2 disease 2019 (COVID-19) abruptly changed the patterns in electricity consumption, challenging the system operations of forecasting and balancing supply and demand. This is mainly due to the mitigation measures that include lock...
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Ting Lu, Weige Zhang and Xiaowei Ding
Due to the development of China?s electricity spot market, the peak-shifting operation modes of energy storage devices (ESD) are not able to adapt to real-time fluctuating electricity prices. The settlement mode of the spot market aggravates the negative...
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?tefan Bojnec and Alan Kri?aj
This paper analyzes electricity markets in Slovenia during the specific period of market deregulation and price liberalization. The drivers of electricity prices and electricity consumption are investigated. The Slovenian electricity markets are analyzed...
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Daniela Pereira Macedo, António Cardoso Marques and Olivier Damette
In this new era of energy transition, access to reliable and correctly functioning electricity markets is a huge concern for all economies. The restructuring path taken by most electricity markets involves the movement towards green generation structures...
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Ting Lu, Weige Zhang, Yunjia Wang, Hua Xie and Xiaowei Ding
In the rapid promotion of China?s electricity spot market, a large number of electricity retailers and large consumers participate in power trading, of which medium- and long-term power trading accounts for a large proportion. In the electricity spot mar...
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Hafiz Usman Ghani, Awais Mahmood, Asmat Ullah and Shabbir H. Gheewala
Bagasse-based electricity is gaining attention as an affordable, reliable, sustainable, and promising renewable energy source in Pakistan. Therefore, the focus of this analysis was to identify the environmental burdens associated with bagasse-based elect...
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Alvin Henao and Luceny Guzman
The global crisis associated with COVID-19 and the Russia-Ukraine conflict has affected progress towards the Sustainable Development Goals (SDGs). Projections for SDG7 (Ensure access to affordable, reliable, sustainable, and modern energy for all) indica...
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Balázs Herczeg and Éva Pintér
The continuous integration of renewable energy sources into the EU?s energy mix is reshaping the electricity market dynamics mainly due to the merit order mechanism affecting wholesale electricity prices (WHEP). This article aims to review the wholesale ...
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Hasnain Iftikhar, Josue E. Turpo-Chaparro, Paulo Canas Rodrigues and Javier Linkolk López-Gonzales
Over the last 30 years, day-ahead electricity price forecasts have been critical to public and private decision-making. This importance has increased since the global wave of deregulation and liberalization in the energy sector at the end of the 1990s. G...
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Christos K. Simoglou and Pandelis N. Biskas
This paper presents a comparative analysis of various capacity mechanisms that are either in force or under approval in key countries/regions in Europe and the US. A detailed analysis on the necessities that led to the establishment of the capacity mecha...
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Aleksandra Matuszewska-Janica, Dorota Zebrowska-Suchodolska, Mariola E. Zalewska, Urszula Ala-Karvia and Marta Hozer-Kocmiel
Private households are an important group of energy consumers. Based on Eurostat data, their energy consumption constituted 30% of the final consumption of energy use across the European Union in 2021. The cost of energy is one of the main components of ...
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Daniel Manfre Jaimes, Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie
This paper proposes a new hybrid model to forecast electricity market prices up to four days ahead. The components of the proposed model are combined in two dimensions. First, on the ?vertical? dimension, long short-term memory (LSTM) neural networks and...
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Mahdi Asadi, Iman Larki, Mohammad Mahdi Forootan, Rouhollah Ahmadi and Meisam Farajollahi
Electricity plays a vital role in the economic development and welfare of countries. Examining the electricity situation and defining scenarios for developing power plant infrastructure will help countries avoid misguided policies that incur high costs a...
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Silvia Golia, Luigi Grossi and Matteo Pelagatti
In this paper we assess how intra-day electricity prices can improve the prediction of zonal day-ahead wholesale electricity prices in Italy. We consider linear autoregressive models with exogenous variables (ARX) with and without interactions among pred...
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Daniel Foronda-Pascual and Andrés M. Alonso
In the Spanish electricity market, after the daily market is held in which prices are set for the next day, the secondary and tertiary markets take place, which allow companies more accurate adjustment of the electricity they are able to offer. The objec...
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Gonçalo Marques Pereira, Rui Castro and Paulo Santos
The main objective of this study is to assess if the targets set by the European Commission (EC) relating to the share of renewables and CO2 emissions by 2030 will be accomplished by the Iberian power system. In this regard, several projections for each ...
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Darragh Carr and Murray Thomson
Non-technical loss of electricity (comprising theft, fraud, non-payment and billing irregularities) is a significant issue, particularly in developing countries, and represents a large financial burden on utility companies, governments and society as a w...
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Bowen Tang, Yi Xu and Mingyang Wang
Battery Electric Vehicles (BEVs) are considered to have higher energy efficiency and advantages to better control CO2 emissions compared to Internal Combustion Engine Vehicles (ICEVs). However, in the context that a large amount of thermal power is still...
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Salaheddin Malkawi, Suhil Kiwan and Sajedah Alzghoul
With the wide spread of new variants of coronavirus that cause the infectious disease COVID-19, governments around the world typically respond by imposing restrictions on people?s activities that range from partial to full lockdowns. This has severe impl...
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