[HTML][HTML] Electricity price forecasting: A review of the state-of-the-art with a look into the future

R Weron - International journal of forecasting, 2014 - Elsevier
A variety of methods and ideas have been tried for electricity price forecasting (EPF) over the
last 15 years, with varying degrees of success. This review article aims to explain the …

Modeling wind power investments, policies and social benefits for deregulated electricity market–A review

L Chinmoy, S Iniyan, R Goic - Applied energy, 2019 - Elsevier
This paper reviews the different aspects of modeling wind energy systems namely
investment, policies, performance, and social benefits for integration in deregulated power …

Incentivizing green technology innovation to confront sustainable development

Y Song, Z Zhang, JM Sahut, O Rubin - Technovation, 2023 - Elsevier
Sustainable development relies to some extent on the ability of key industries to transition
towards production based on green technologies. The shift to green technology can occur …

Impact of renewables on electricity markets–Do support schemes matter?

J Winkler, A Gaio, B Pfluger, M Ragwitz - Energy Policy, 2016 - Elsevier
Rising renewable shares influence electricity markets in several ways: among others,
average market prices are reduced and price volatility increases. Therefore, the “missing …

Decarbonizing electricity generation with intermittent sources of energy

S Ambec, C Crampes - Journal of the Association of …, 2019 - journals.uchicago.edu
We examine policy instruments that aim to decarbonize electricity production by replacing
fossil fuel energy with intermittent renewable sources, namely, wind and solar power. We …

Profit maximization with imbalance cost improvement by solar PV-battery hybrid system in deregulated power market

GS Patil, A Mulla, S Dawn, TS Ustun - Energies, 2022 - mdpi.com
The changeable nature of renewable sources creates difficulties in system security and
stability. Therefore, it is necessary to study system risk in several power system scenarios. In …

Locational marginal price forecasting in a day-ahead power market using spatiotemporal deep learning network

YY Hong, JV Taylar, AC Fajardo - Sustainable Energy, Grids and Networks, 2020 - Elsevier
Locational marginal pricing (LMP) in a deregulated electricity market is a result of bidding
competition from nodes (locations). This paper presents a deep learning neural network for …

An approach for long term economic operations of competitive power market by optimal combined scheduling of wind turbines and FACTS controllers

S Dawn, PK Tiwari, AK Goswami - Energy, 2019 - Elsevier
Wind farm integration with existing main electricity grid is very difficult due to the uncertainty
of wind speed, which affects the balancing nature of electrical system. In current competitive …

Inertia market: Mechanism design and its impact on generation mix

J Hu, Z Yan, X Xu, S Chen - Journal of Modern Power Systems …, 2023 - ieeexplore.ieee.org
Increasing penetration of renewable energy generation poses a challenge to power system
inertia adequacy. It is vital to provide long-term incentive signals to induce a generation mix …

Use of deep learning architectures for day-ahead electricity price forecasting over different time periods in the Spanish electricity market

B Vega-Márquez, C Rubio-Escudero… - Applied Sciences, 2021 - mdpi.com
The importance of electricity in people's daily lives has made it an indispensable commodity
in society. In electricity market, the price of electricity is the most important factor for each of …