A deep generative model for probabilistic energy forecasting in power systems: normalizing flows
Sign Up to like & getrecommendations! Published in 2022 at "Applied Energy"
DOI: 10.1016/j.apenergy.2021.117871
Abstract: Greater direct electrification of end-use sectors with a higher share of renewables is one of the pillars to power a carbon-neutral society by 2050. However, in contrast to conventional power plants, renewable energy is subject… read more here.
Keywords: power systems; energy; energy forecasting; normalizing flows ... See more keywords
A review on multi-objective optimization framework in wind energy forecasting techniques and applications
Sign Up to like & getrecommendations! Published in 2020 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2020.113324
Abstract: Abstract Wind energy is renewable and clean energy. To improve the utilization efficiency of the wind energy, studies on wind energy forecasting have gradually been developed in recent years. In these studies, multi-objective optimization technologies… read more here.
Keywords: wind energy; energy; energy forecasting; multi objective ... See more keywords
From Load to Net Energy Forecasting: Short-Term Residential Forecasting for the Blend of Load and PV Behind the Meter
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3044307
Abstract: As distribution networks worldwide are experiencing the adoption of residential solar photovoltaic (PV) more than ever, the need for transiting from the concept of load forecasting to net energy forecasting, i.e. predicting the blend of… read more here.
Keywords: energy forecasting; load; short term; net energy ... See more keywords
A New False Data Injection Attack Detection Model for Cyberattack Resilient Energy Forecasting
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3151748
Abstract: As power systems are gradually evolving into more efficient and intelligent cyber–physical energy systems with the large-scale penetration of renewable energies and information technology, they become increasingly reliant upon more accurate and complex forecasting. The… read more here.
Keywords: energy forecasting; energy; data injection; attack detection ... See more keywords
Improving Renewable Energy Forecasting With a Grid of Numerical Weather Predictions
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Sustainable Energy"
DOI: 10.1109/tste.2017.2694340
Abstract: In the last two decades, renewable energy forecasting progressed toward the development of advanced physical and statistical algorithms aiming at improving point and probabilistic forecast skill. This paper describes a forecasting framework to explore information… read more here.
Keywords: energy; energy forecasting; renewable energy; numerical weather ... See more keywords
Concept and benchmark results for Big Data energy forecasting based on Apache Spark
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Big Data"
DOI: 10.1186/s40537-018-0119-6
Abstract: The present article describes a concept for the creation and application of energy forecasting models in a distributed environment. Additionally, a benchmark comparing the time required for the training and application of data-driven forecasting models… read more here.
Keywords: spark; apache spark; energy forecasting; big data ... See more keywords
Very Short-term Wind Energy Forecasting Based on Stacking Ensemble
Sign Up to like & getrecommendations! Published in 2020 at "ChemBioChem"
DOI: 10.21528/cbic2019-22
Abstract: Wind power generation is one of the technologies of electric production which still in development in Brazil, however, it already has a great penetration in the national energy matrix, representing 13.98% of the national energy… read more here.
Keywords: wind energy; energy; energy forecasting; stacking ensemble ... See more keywords
Demand energy forecasting using genetic algorithm to guarantee safety on electrical transportation system
Sign Up to like & getrecommendations! Published in 2018 at "Chemical engineering transactions"
DOI: 10.3303/cet1867132
Abstract: Demand estimation models are used for energy planning activities. Their primary function is focused on securing energy supply to final users using available resources in generation, transport and interconnection. Long-term planning models typically use non-linear… read more here.
Keywords: forecasting using; energy; energy forecasting; using genetic ... See more keywords
Short-Term Energy Forecasting Using Machine-Learning-Based Ensemble Voting Regression
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14010160
Abstract: Meeting the required amount of energy between supply and demand is indispensable for energy manufacturers. Accordingly, electric industries have paid attention to short-term energy forecasting to assist their management system. This paper firstly compares multiple… read more here.
Keywords: energy forecasting; machine; energy; machine learning ... See more keywords