A review of current challenges and trends in energy systems modeling
The requirements made on energy system models have changed during the last few
decades. New challenges have arisen with the implementation of high shares of Renewable …
decades. New challenges have arisen with the implementation of high shares of Renewable …
[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 …
last 15 years, with varying degrees of success. This review article aims to explain the …
Energy systems modeling for twenty-first century energy challenges
Energy systems models are important methods used to generate a range of insight and
analysis on the supply and demand of energy. Developed over the second half of the …
analysis on the supply and demand of energy. Developed over the second half of the …
A review of the role of distributed generation (DG) in future electricity systems
The traditional paradigm of centralised electricity systems is being disrupted by increasing
levels of distributed generation. It is unclear as to what level of distributed generation is …
levels of distributed generation. It is unclear as to what level of distributed generation is …
Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market …
W Li, DM Becker - Energy, 2021 - Elsevier
The availability of accurate day-ahead electricity price forecasts is pivotal for electricity
market participants. In the context of trade liberalisation and market harmonisation in the …
market participants. In the context of trade liberalisation and market harmonisation in the …
[HTML][HTML] A review of energy systems models in the UK: Prevalent usage and categorisation
LMH Hall, AR Buckley - Applied Energy, 2016 - Elsevier
In this paper, a systematic review of academic literature and policy papers since 2008 is
undertaken with an aim of identifying the prevalent energy systems models and tools in the …
undertaken with an aim of identifying the prevalent energy systems models and tools in the …
Multivariable short-term electricity price forecasting using artificial intelligence and multi-input multi-output scheme
P Jiang, Y Nie, J Wang, X Huang - Energy Economics, 2023 - Elsevier
In deregulated power markets, electricity price forecasting is the most valuable tool.
However, with inherent electricity price characteristics, such as high frequency and volatility …
However, with inherent electricity price characteristics, such as high frequency and volatility …
[图书][B] Modeling and forecasting electricity loads and prices: A statistical approach
R Weron - 2006 - books.google.com
This book offers an in-depth and up-to-date review of different statistical tools that can be
used to analyze and forecast the dynamics of two crucial for every energy company …
used to analyze and forecast the dynamics of two crucial for every energy company …
Trends and challenges in the operation of pumped-storage hydropower plants
The increasing penetration of renewable energy sources (RESs) in the power system has
highlighted the benefits of being able to store energy in a more efficient manner, and the …
highlighted the benefits of being able to store energy in a more efficient manner, and the …
Stochastic dynamic pricing for EV charging stations with renewable integration and energy storage
This paper studies the problem of stochastic dynamic pricing and energy management
policy for electric vehicle (EV) charging service providers. In the presence of renewable …
policy for electric vehicle (EV) charging service providers. In the presence of renewable …