Does artificial intelligence promote energy transition and curb carbon emissions? The role of trade openness
A more comprehensive understanding of the impact of artificial intelligence (AI) on energy
transition and carbon emissions could help to use AI to achieve carbon neutrality. To this …
transition and carbon emissions could help to use AI to achieve carbon neutrality. To this …
[HTML][HTML] Two-step deep learning framework with error compensation technique for short-term, half-hourly electricity price forecasting
Prediction of electricity price is crucial for national electricity markets supporting sale prices,
bidding strategies, electricity dispatch, control and market volatility management. High …
bidding strategies, electricity dispatch, control and market volatility management. High …
TLIA: Time-series forecasting model using long short-term memory integrated with artificial neural networks for volatile energy markets
ALA Dalal, AM AlRassas, MAA Al-qaness, Z Cai… - Applied Energy, 2023 - Elsevier
Due to weather and political fluctuations that significantly impact the production and price of
energy sources, enhancing data distribution and reducing data complexity is crucial to …
energy sources, enhancing data distribution and reducing data complexity is crucial to …
[HTML][HTML] A new framework for electricity price forecasting via multi-head self-attention and CNN-based techniques in the competitive electricity market
Due to recent technical improvements, the smart grid has become a feasible platform for
electricity market participants to successfully regulate their bidding process based on …
electricity market participants to successfully regulate their bidding process based on …
Sustainable development and the surge in electricity demand across emerging economies
Electricity plays a pivotal role in the operation and development of contemporary societies
and economies, with its significance escalating as electricity-dependent technologies like …
and economies, with its significance escalating as electricity-dependent technologies like …
[HTML][HTML] Electricity market price forecasting using ELM and Bootstrap analysis: A case study of the German and Finnish Day-Ahead markets
S Loizidis, A Kyprianou, GE Georghiou - Applied Energy, 2024 - Elsevier
Electricity market liberalization and the absence of cost-efficient energy storage
technologies have led to the transformation of state-owned electricity companies into …
technologies have led to the transformation of state-owned electricity companies into …
[HTML][HTML] How do institutional quality and income asymmetrically affect carbon emissions inequality? A Quantile-on-Quantile assessment for six major global emitters
Carbon emissions inequality (CE-I) represents a significant obstacle to achieving
sustainable development and social equity, highlighting the unequal distribution of …
sustainable development and social equity, highlighting the unequal distribution of …
Spillover effects among electricity prices, traditional energy prices and carbon market under climate risk
With the increase in global geopolitical risks and the frequent occurrence of extreme climate
in recent years, the electricity prices in Europe have shown large fluctuations. Electricity …
in recent years, the electricity prices in Europe have shown large fluctuations. Electricity …
An optimized deep learning approach for forecasting day-ahead electricity prices
ÇB Bozlak, CF Yaşar - Electric Power Systems Research, 2024 - Elsevier
Electricity price forecasting is essential for reliable and cost-effective operations in the power
industry. However, the complex and nonlinear structure of the electricity price series …
industry. However, the complex and nonlinear structure of the electricity price series …
Auditory-circuit-motivated deep network with application to short-term electricity price forecasting
Reliable electricity price forecasts are of great importance to operators and participants in
power markets. However, due to mixing effects of various factors, electricity price fluctuations …
power markets. However, due to mixing effects of various factors, electricity price fluctuations …