|
|
|
|
|
Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie
This research proposes an investigative experiment employing binary classification for short-term electricity price spike forecasting. Numerical definitions for price spikes are derived from economic and statistical thresholds. The predictive task employ...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mary Rudolph and Paul Damien
Texas has abundant natural resources, making it a good place for renewable energy facilities to build. Unfortunately, property taxes are the highest tax on an incoming renewable energy facility in the state. In order to increase renewable energy in the s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nika Nizharadze, Arash Farokhi Soofi and Saeed Manshadi
Predicting the price gap between the day-ahead Market (DAM) and the real-time Market (RTM) plays a vital role in the convergence bidding mechanism of Independent System Operators (ISOs) in wholesale electricity markets. This paper presents a model to pre...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhengke Liu, Xiaolei Ma, Xiaohan Liu, Gonçalo Homem de Almeida Correia, Ruifeng Shi and Wenlong Shang
Optimizing battery swapping station (BSS) configuration is essential to enhance BSS?s energy savings and economic feasibility, thereby facilitating energy refueling efficiency of electric taxis (ETs). This study proposes a novel modular battery swapping ...
ver más
|
|
|
|
|
|
|
|
|
|
|
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 ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marwan Mahmoud and Sami Ben Slama
The Internet of Energy (IoE) is a topic that industry and academics find intriguing and promising, since it can aid in developing technology for smart cities. This study suggests an innovative energy system with peer-to-peer trading and more sophisticate...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guang Tian, Yang Yang, Xiaoran Xu, Yiming Chen, Bo Yang, Xu Wu and Xinhao Wang
Business parks account for 30% of China?s total carbon emissions. Exploring emissions reduction approaches for business parks is crucial to achieve a net-zero emissions target, as well as for achieving a representative example for all types of emissions ...
ver más
|
|
|
|
|
|