Results 11 to 20 of about 5,303,939 (309)
Using conditional kernel density estimation for wind power density forecasting [PDF]
, 2012 Of the various renewable energy resources, wind power is widely recognized as one of the most promising. The management of wind farms and electricity systems can benefit greatly from the availability of estimates of the probability distribution of wind ...
Jeon, Jooyoung, Taylor, James
core +3 more sources
A novel hybrid technique for short-term electricity price forecasting in deregulated electricity markets [PDF]
, 2010 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Short-term electricity price forecasting is now crucial practice in deregulated electricity markets, as it forms the basis for maximizing the profits of the
Hu, Linlin
core +5 more sources
Probabilistic Power Quality Level Forecasting through Quantile Regression Models
, 2022 Waveform distortions are Power Quality (PQ) disturbances with harmful impacts on power system components, and planning engineers and system operators are deeply interested in new methodologies able to provide a support to limit this impact.
De Falco P. +7 more
core +1 more source
Residential Power Load Forecasting
Procedia Computer Science, 2014 AbstractThe prepaid electric power metering market is being driven in large part by advancements in and the adoption of Smart Grid technology. Advanced smart meters facilitate the deployment of prepaid systems with smart prepaid meters. A successful program hinges on the ability to accurately predict the amount of energy consumed on a daily basis for ...
Patrick Day +6 more
openaire +1 more source
Diffusion‐based conditional wind power forecasting via channel attention [PDF]
, 2023 Wind energy is one of the most significant renewable sources of energy while accurate and reliable wind power forecasting methods may greatly benefit power system planning and scheduling.
Zhixian Wang +13 more
core +1 more source
IFAC-PapersOnLine, 2018 Abstract Accurate short-term wind power forecast is very important for reliable and efficient operation of power systems with high wind power penetration. There are many conventional and artificial intelligence methods that have been developed to achieve accurate wind power forecasting. Time-series based algorithms are known to be simple, robust, and
Q. Chen, K.A. Folly
openaire +1 more source
, 2021 The wind power generation depends on wind speed and its derivatives like: wind speed and direction. With consideration of stochastic nature of wind power, this work addresses three main issues: first, it discusses the state of art of energy forecasting with emphasis on wind power forecasting. It provides an overview of different variables on which wind
Sumit Saroha +2 more
openaire +2 more sources
Advanced Methods for Photovoltaic Output Power Forecasting: A Review
Applied Sciences, 2020 Forecasting is a crucial task for successfully integrating photovoltaic (PV) output power into the grid. The design of accurate photovoltaic output forecasters remains a challenging issue, particularly for multistep-ahead prediction.
Adel Mellit +4 more
doaj +1 more source
Collaborative Wind Power Forecast
, 2014 There are several new emerging environments, generating data spatially spread and interrelated. These applications reinforce the importance of the development of analytical systems capable to sense the environment and receive data from different locations.
Vânia Almeida, João Gama 0001
openaire +3 more sources
SolarDespite the many advantages of renewable energy sources, the stochastic nature of their generation creates a mismatch between electricity production and demand timing. Without appropriate storage solutions, surplus energy remains unused. Although battery
Volodymyr Derii +3 more
doaj +1 more source