Aggregating prophet and seasonal trend decomposition for time series forecasting of Italian electricity spot prices

SF Stefenon, LO Seman, VC Mariani, LS Coelho - Energies, 2023 - mdpi.com
The cost of electricity and gas has a direct influence on the everyday routines of people who
rely on these resources to keep their businesses running. However, the value of electricity is …

Short-term electricity price forecasting based on similarity day screening, two-layer decomposition technique and Bi-LSTM neural network

K Wang, M Yu, D Niu, Y Liang, S Peng, X Xu - Applied Soft Computing, 2023 - Elsevier
Electricity price forecasting (EPF) has been challenged by the widespread grid integration of
renewable energy (RE), so it is critical to develop a highly accurate and reliable EPF model …

Price forecasts of ten steel products using Gaussian process regressions

X Xu, Y Zhang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Addressing price forecasting problems is an important exercise to policymakers and market
participants in the resource business sector. In this work, we build Gaussian process …

Auditory-circuit-motivated deep network with application to short-term electricity price forecasting

H Wu, Y Liang, XZ Gao, P Du - Energy, 2024 - Elsevier
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 …

Short-Term Electricity Price Forecasting Based on the Two-Layer VMD Decomposition Technique and SSA-LSTM

F Guo, S Deng, W Zheng, A Wen, J Du, G Huang… - Energies, 2022 - mdpi.com
Accurate electricity price forecasting (EPF) can provide a necessary basis for market
decision making by power market participants to reduce the operating cost of the power …

Data analytics in the electricity market: a systematic literature review

MH Imani, E Bompard, P Colella, T Huang - Energy Systems, 2023 - Springer
In the last decade, data analytics studies have covered a wide range of fields across the
entire value chain in the electricity sector, from production and transmission to the electricity …

[HTML][HTML] Spot price forecasting for best trading strategy decision support in the Iberian electricity market

BG Magalhães, PMR Bento, JAN Pombo… - Expert Systems with …, 2023 - Elsevier
The increasing volatility in electricity markets has reinforced the need for better trading
strategies by both sellers and buyers to limit the exposure to losses. Accordingly, this paper …

Short-Term Load Forecasting Based on Optimized Random Forest and Optimal Feature Selection

B Magalhães, P Bento, J Pombo, MR Calado… - Energies, 2024 - mdpi.com
Short-term load forecasting (STLF) plays a vital role in ensuring the safe, efficient, and
economical operation of power systems. Accurate load forecasting provides numerous …

Neural network dynamic differential control for long-term price guidance mechanism of flexible energy service providers

L Yin, Y Qiu - Energy, 2022 - Elsevier
Price guidance in the flexible energy electricity market is not mature. The imbalance
between supply and demand in current electricity markets is mainly caused by uncontrolled …

MSV-net: Multi-scale visual-inspired network for short-term electricity price forecasting

H Wu, Y Liang, JN Heng, CX Ma, XZ Gao - Energy, 2024 - Elsevier
In electricity price forecast, deep networks have shown promising due to their strong
nonlinear modeling capability but corresponding design tricks are not convincible, reflecting …