Prediction of river flow using hybrid neuro-fuzzy models
Sign Up to like & getrecommendations! Published in 2018 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-018-4079-0
Abstract: The complex nature of hydrological phenomena, like rainfall and river flow, causes some limitations for some admired soft computing models in order to predict the phenomenon. Evolutionary algorithms (EA) are novel methods that used to… read more here.
Keywords: river; river flow; day ahead; neuro fuzzy ... See more keywords
Prediction and explanation of the formation of the Spanish day-ahead electricity price through machine learning regression
Sign Up to like & getrecommendations! Published in 2019 at "Applied Energy"
DOI: 10.1016/j.apenergy.2019.01.213
Abstract: Abstract Until recently, detailed information on the power system state to estimate future spot prices by regression analysis was generally restricted to qualified parties. However, to ensure transparency in operation, the Spanish Transmission System Operator… read more here.
Keywords: regression; price; prediction; day ahead ... See more keywords
Day-ahead photovoltaic power production forecasting methodology based on machine learning and statistical post-processing
Sign Up to like & getrecommendations! Published in 2020 at "Applied Energy"
DOI: 10.1016/j.apenergy.2020.115023
Abstract: Abstract A main challenge towards ensuring large-scale and seamless integration of photovoltaic systems is to improve the accuracy of energy yield forecasts, especially in grid areas of high photovoltaic shares. The scope of this paper… read more here.
Keywords: methodology; machine learning; ahead photovoltaic; day ahead ... See more keywords
An advanced day-ahead bidding strategy for wind power producers considering confidence level on the real-time reserve provision
Sign Up to like & getrecommendations! Published in 2020 at "Applied Energy"
DOI: 10.1016/j.apenergy.2020.115973
Abstract: Abstract The current evolutions in electricity market policies combined with the technical progress in wind farm control encourage Wind Power Producers (WPPs) to participate in the joint day-ahead energy and reserve market (JERM). In this… read more here.
Keywords: power; real time; day ahead; reserve ... See more keywords
Forecasting and uncertainty analysis of day-ahead photovoltaic power using a novel forecasting method
Sign Up to like & getrecommendations! Published in 2021 at "Applied Energy"
DOI: 10.1016/j.apenergy.2021.117291
Abstract: Abstract The primary means to promote grid-connected photovoltaic power generation is through accurately forecasting the power output from photovoltaic power stations. This paper proposes a method for day-ahead photovoltaic power forecasting (PPF) and uncertainty analysis… read more here.
Keywords: ahead photovoltaic; lssvm; power; photovoltaic power ... See more keywords
Day-ahead prediction of hourly electric demand in non-stationary operated commercial buildings: A clustering-based hybrid approach
Sign Up to like & getrecommendations! Published in 2017 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2017.05.003
Abstract: Abstract As the crucial foundation of distributed energy management systems, a reliable prediction of dynamic energy consumption is urgently needed in the building sector. Advances in metering technology and machine learning methods provide both opportunities… read more here.
Keywords: clustering based; day ahead; non stationary; based hybrid ... See more keywords
Application of bagging in day-ahead electricity price forecasting and factor augmentation
Sign Up to like & getrecommendations! Published in 2021 at "Energy Economics"
DOI: 10.1016/j.eneco.2021.105573
Abstract: The electricity price forecasting (EPF) is a challenging task not only because of the uncommon characteristics of electricity but also because of the existence of many potential predictors with changing predictive abilities over time. Particularly,… read more here.
Keywords: price forecasting; electricity price; day ahead; ahead electricity ... See more keywords
Day-ahead natural gas demand forecasting based on the combination of wavelet transform and ANFIS/genetic algorithm/neural network model
Sign Up to like & getrecommendations! Published in 2017 at "Energy"
DOI: 10.1016/j.energy.2016.12.033
Abstract: Accurate forecasts of natural gas demand can be essential for utilities, energy traders, regulatory authorities, decision makers and others. The aim of this paper is to test the robustness of a novel hybrid computational intelligence… read more here.
Keywords: day ahead; gas; model; natural gas ... See more keywords
Day-ahead optimal bidding and scheduling strategies for DER aggregator considering responsive uncertainty under real-time pricing
Sign Up to like & getrecommendations! Published in 2020 at "Energy"
DOI: 10.1016/j.energy.2020.118765
Abstract: Abstract This paper addresses the optimal decision problem of a distributed energy resources (DER) aggregator who manages wind turbines, solar PV systems and battery energy storage (BES) units while implementing real-time pricing (RTP) demand response… read more here.
Keywords: bidding scheduling; uncertainty; aggregator; der aggregator ... See more keywords
Distributionally robust day-ahead operation of power systems with two-stage gas contracting
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DOI: 10.1016/j.energy.2021.120840
Abstract: Abstract Due to stronger interactions between power and gas systems promoted by the deployment of fast-response gas-fired power plants and the advanced technology of power-to-gas facilities, secure and optimal energy management becomes highly challenging. In… read more here.
Keywords: gas; power; day ahead; operation ... See more keywords
European day-ahead electricity market coupling: Discussion, modeling, and case study
Sign Up to like & getrecommendations! Published in 2018 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2017.10.003
Abstract: Abstract Currently, the integration of European Electricity Market (EEM) has led to a single European Day-Ahead Market (DAM) with multiple-areas considered as bidding zones. In the near future, the EEM will spread to the Intra-day… read more here.
Keywords: day ahead; electricity market; market; european day ... See more keywords