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Year of publication
Subject
All
Generation expansion planning 2 RES integration 2 carbon leakage 2 optimal generation mix 2 strategic interconnection 2 Artificial Neural Network (ANN) 1 Electric power industry 1 Elektrizitätswirtschaft 1 Fossil fuel 1 Fossile Energie 1 Greenhouse gas emissions 1 Kraftwerk 1 Power plant 1 Theorie 1 Theory 1 Treibhausgas-Emissionen 1 energy forecasting 1 renewable energy source (RES) integration 1
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Online availability
All
Free 3
Type of publication
All
Book / Working Paper 2 Article 1
Type of publication (narrower categories)
All
Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
All
English 2 Undetermined 1
Author
All
Bertsch, Valentin 2 Fitiwi, Desta Z. 2 Lnych, Muireann 2 Dolara, Alberto 1 Grimaccia, Francesco 1 Leva, Sonia 1 Mussetta, Marco 1 Ogliari, Emanuele 1
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Published in...
All
ESRI Working Paper 1 Energies 1 Working paper / The Economic and Social Research Institute 1
Source
All
ECONIS (ZBW) 1 EconStor 1 RePEc 1
Showing 1 - 3 of 3
Cover Image
Optimal development of electricity generation mix considering fossil fuel phase-out and strategic multi-area interconnection
Fitiwi, Desta Z.; Lnych, Muireann; Bertsch, Valentin - 2019
Increased renewable generation worldwide is posing new challenges for power system planners. The location, as well as the level and operation, of each generation resource is increasingly important. This work presents a constrained Generation Expansion Planning (GEP) optimization model. One of...
Persistent link: https://www.econbiz.de/10011985208
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Cover Image
Optimal development of electricity generation mix considering fossil fuel phase-out and strategic multi-area interconnection
Fitiwi, Desta Z.; Lnych, Muireann; Bertsch, Valentin - 2019
Increased renewable generation worldwide is posing new challenges for power system planners. The location, as well as the level and operation, of each generation resource is increasingly important. This work presents a constrained Generation Expansion Planning (GEP) optimization model. One of...
Persistent link: https://www.econbiz.de/10011974959
Saved in:
Cover Image
A Physical Hybrid Artificial Neural Network for Short Term Forecasting of PV Plant Power Output
Dolara, Alberto; Grimaccia, Francesco; Leva, Sonia; … - In: Energies 8 (2015) 2, pp. 1138-1153
photovoltaic plants. Forecasting methods can play a fundamental role in solving problems related to renewable energy source (RES …) integration in smart grids. Here a new hybrid method called Physical Hybrid Artificial Neural Network (PHANN) based on an …
Persistent link: https://www.econbiz.de/10011160786
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