A systematic review of statistical and machine learning methods for electrical power forecasting with reported mape score
Electric power forecasting plays a substantial role in the administration and balance of
current power systems. For this reason, accurate predictions of service demands are needed …
current power systems. For this reason, accurate predictions of service demands are needed …
A review of renewable energy supply and energy efficiency technologies
Electricity consumption will comprise an increasing share of global energy demand during
the next two decades. In recent years, the increasing prices of fossil fuels and concerns …
the next two decades. In recent years, the increasing prices of fossil fuels and concerns …
A novel ensemble model for long-term forecasting of wind and hydro power generation
Power generation scenario modelling has become an integral part of long-term planning in
power system due to high penetration of variable renewable energy. It requires accurate …
power system due to high penetration of variable renewable energy. It requires accurate …
An overview of research and energy evolution for small hydropower in Europe
F Manzano-Agugliaro, M Taher, A Zapata-Sierra… - … and Sustainable Energy …, 2017 - Elsevier
Europe has a large tradition of Small Hydropower stations (SHP); these proliferate wherever
there was an adequate supply of moving water and a need for electricity. As electricity …
there was an adequate supply of moving water and a need for electricity. As electricity …
[HTML][HTML] Recent advances and applications of machine learning in the variable renewable energy sector
Abstract Machine learning (ML) plays an essential role in various scientific fields. ML
streamlines renewable energy systems, boosting efficiency and production, as global …
streamlines renewable energy systems, boosting efficiency and production, as global …
Evaluation of flood prediction capability of the WRF-hydro model based on multiple forcing scenarios
M Sun, Z Li, C Yao, Z Liu, J Wang, A Hou, K Zhang… - Water, 2020 - mdpi.com
The Weather Research and Forecasting (WRF)-Hydro model as a physical-based, fully-
distributed, multi-parameterization modeling system easy to couple with numerical weather …
distributed, multi-parameterization modeling system easy to couple with numerical weather …
Short‐term power generation energy forecasting model for small hydropower stations using ga‐svm
G Li, Y Sun, Y He, X Li, Q Tu - Mathematical Problems in …, 2014 - Wiley Online Library
Accurate and reliable power generation energy forecasting of small hydropower (SHP) is
essential for hydropower management and scheduling. Due to nonperson supervision for a …
essential for hydropower management and scheduling. Due to nonperson supervision for a …
[HTML][HTML] Forecast-informed hydropower optimization at long and short-time scales for a multiple dam network
This study presents a scheme for co-optimizing the long-term (seasonal) reservoir operating
objectives with the short-term (daily) objectives for multi-dam networks to maximize …
objectives with the short-term (daily) objectives for multi-dam networks to maximize …
Day-ahead energy production in small hydropower plants: uncertainty-aware forecasts through effective coupling of knowledge and data
Motivated by the challenges induced by the so-called Target Model and the associated
changes to the current structure of the energy market, we revisit the problem of day-ahead …
changes to the current structure of the energy market, we revisit the problem of day-ahead …
Technical performance evaluation and optimization of a run-of-river hydropower facility
The objective of the current research is to develop a novel analytical approach for the
performance evaluation and optimization of a run-of-river hydropower facility. Two types of …
performance evaluation and optimization of a run-of-river hydropower facility. Two types of …