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Maryam Safavi and Maryam Khoshbakht
Utilizing integrated solar systems and renewable energy sources has the potential to not only decrease the CO2 emissions of buildings but also provide access to more affordable energy alternatives compared to fossil fuels, especially considering the rece...
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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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Yu Wang, Chengji Liang, Tugce Uslu Aktas, Jian Shi, Yang Pan, Sidun Fang and Gino Lim
Maritime transportation decarbonization has become a crucial factor in reducing carbon emissions and mitigating climate change. As an industry that historically relies on fossil fuels, in particular, heavy fuel oil, the reinvention of the maritime transp...
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Denis E. Baskan, Daniel Meyer, Sebastian Mieck, Leonhard Faubel, Benjamin Klöpper, Nika Strem, Johannes A. Wagner and Jan J. Koltermann
In recent years, energy prices have become increasingly volatile, making it more challenging to predict them accurately. This uncertain market trend behavior makes it harder for market participants, e.g., power plant dispatchers, to make reliable decisio...
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Tugçin Kirant Mitic and Karsten Voss
Electricity generation from renewable energy reduces greenhouse gas emissions and, in the long term, the cost of electricity in power grids. However, there is currently no strong positive correlation between greenhouse gas intensity and electricity spot ...
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Sangmin Park, SeolAh Park, Sang-Pil Yun, Kyungeun Lee, Byeongkwan Kang, Myeong-in Choi, Hyeonwoo Jang and Sehyun Park
To realize carbon neutrality, understanding the energy consumed in the building sector, which is more than that in other sectors, such as industry, agriculture, and commerce, is pivotal. Approximately 37% of energy consumption belongs to the building sec...
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Tiago Silveira Gontijo,Marcelo Azevedo Costa,Rafael Isaac dos Santos,Rodrigo Barbosa de Santis
Developing forecasting models is a difficult task. Particularly concerning electricity prices, accurately predicting their forthcoming values makes it possible to minimize planning risks. This fact becomes even more relevant in the current geopolitical s...
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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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Arne Vogler and Florian Ziel
The present paper considers the problem of choosing among a collection of competing electricity price forecasting models to address a stochastic decision-making problem. We propose an event-based evaluation framework applicable to any optimization proble...
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Kyunghwan Kim
To combat climate change, efforts to reduce greenhouse gas (GHG) emissions are being made in all industries. The shipping sector is also one of the industries that emits GHG, including carbon. One way to reduce GHG emissions in the shipping sector is to ...
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