[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 …
Short-term load forecasting with exponentially weighted methods
JW Taylor - IEEE transactions on Power Systems, 2011 - ieeexplore.ieee.org
Short-term load forecasts are needed for the efficient management of power systems.
Although weather-based modeling is common, univariate models can be useful when the …
Although weather-based modeling is common, univariate models can be useful when the …
A survey on data mining techniques applied to electricity-related time series forecasting
Data mining has become an essential tool during the last decade to analyze large sets of
data. The variety of techniques it includes and the successful results obtained in many …
data. The variety of techniques it includes and the successful results obtained in many …
Energy time series forecasting based on pattern sequence similarity
This paper presents a new approach to forecast the behavior of time series based on
similarity of pattern sequences. First, clustering techniques are used with the aim of grouping …
similarity of pattern sequences. First, clustering techniques are used with the aim of grouping …
A literature review with statistical analysis of electricity price forecasting methods
In today's liberalized and competitive power market, electric utilities, power producers and
traders are exposed to increasing price risks and volatility. The growing reliance on …
traders are exposed to increasing price risks and volatility. The growing reliance on …
Power system reliability impact of energy storage integration with intelligent operation strategy
Electric power industry is experiencing a movement from the existing conventional electric
grid to a more reliable, efficient and secure smart grid. In order to achieve these goals …
grid to a more reliable, efficient and secure smart grid. In order to achieve these goals …
Adequacy and economy analysis of distribution systems integrated with electric energy storage and renewable energy resources
The integration of renewable energy resources (RER) into an existing distribution system is
an important topic in dealing with energy challenge the world is facing. With rapid …
an important topic in dealing with energy challenge the world is facing. With rapid …
Combination of manifold learning and deep learning algorithms for mid-term electrical load forecasting
Mid-term load forecasting (MTLF) is of great significance for power system planning,
operation, and power trading. However, the mid-term electrical load is affected by the …
operation, and power trading. However, the mid-term electrical load is affected by the …
Optimal scheduling of virtual power plant with battery degradation cost
This study proposes a novel optimal generation scheduling model for virtual power plant
(VPP) considering the degradation cost of energy storage system (ESS). The VPP is …
(VPP) considering the degradation cost of energy storage system (ESS). The VPP is …
Diverse feature extraction techniques in internet search query to forecast tourism demand: An in-depth comparison
It is an effective approach to improve forecasting by extracting effective information from
large panels of search query data. Feature extraction techniques (FETs) can extract …
large panels of search query data. Feature extraction techniques (FETs) can extract …