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Enhancing load, wind and solar generation for day-ahead forecasting of electricity prices

Maciejowska, Katarzyna; Nitka, Weronika; Weron, Tomasz - In: Energy economics 99 (2021), pp. 1-9

Persistent link: https://www.econbiz.de/10012888483

Probabilistic energy forecasting : Global Energy Forecasting Competition 2014 and beyond

Hong, Tao; Pinson, Pierre; Fan, Shu; Zareipour, Hamidreza; … - In: International journal of forecasting 32 (2016) 3, pp. 896-913

Persistent link: https://www.econbiz.de/10011621881

Investment performance predictions in the digitization of nuclear energy

Kharitonov, V. V.; Semenova, D. Yu.; Akinfeeva, Ekaterina V. - In: Studies on Russian economic development 32 (2021) 6, pp. 662-667

Persistent link: https://www.econbiz.de/10012661326

Power Generation Forecasting of a Solar Photovoltaic Power Plant by a Novel Transfer Learning Technique with Small Solar Radiation and Power Generation Training Data Sets

Tajjour, Salwan; Chandel, S - 2022

Deep learning (DL) which is widely used for photovoltaic generation forecasting requires large data to be trained properly, which is not available initially for new power plants. Transfer learning is a powerful technique used in computer vision problems with capability to achieve high...

Persistent link: https://www.econbiz.de/10013304852

The effect of wind and solar power forecasts on day-ahead and intraday electricity prices in Germany

Gürtler, Marc; Paulsen, Thomas - In: Energy economics 75 (2018), pp. 150-162

Persistent link: https://www.econbiz.de/10011973901

A multiple quantile regression approach to the wind, solar, and price tracks of GEFCom2014

Juban, Romain; Ohlsson, Henrik; Maasoumy, Mehdi; … - In: International journal of forecasting 32 (2016) 3, pp. 1094-1102

Persistent link: https://www.econbiz.de/10011622056

Forecasting electricity prices with expert, linear and non-linear models

Billé, Anna Gloria; Gianfreda, Angelica; Del Grosso, … - 2021

Persistent link: https://www.econbiz.de/10012627837

Forecasting electricity prices with expert, linear, and nonlinear models

Billé, Anna Gloria; Gianfreda, Angelica; Del Grosso, … - In: International journal of forecasting 39 (2023) 2, pp. 570-586

Persistent link: https://www.econbiz.de/10014465069

Hydraulic plant generation forecasting in Colombian power market using ANFIS

Moreno, Julián - In: Energy economics 31 (2009) 3, pp. 450-455

Persistent link: https://www.econbiz.de/10003851693

Forecast of Electricity Generation in a Wave Power Plant : The Mutriku Case Study

Casas, Isabel; Lekube, Jon - 2023

commercializing stage to accurately model and forecast its production to ensure efficient trading in the daily wholesale electricity … market. Altogether, a reliable forecast is a required step for the establishment of wave energy as a sustainable and viable … estimate and forecast the electricity production of two oscillating wave converters from the Mutriku Wave Power Plant dur- ing …

Persistent link: https://www.econbiz.de/10014262609

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