Gathering selected, revised and extended contributions from the conference ‘Forecasting and Risk Management for Renewable Energy FOREWER’, which took place in Paris in June 2017, this book focuses on the applications of statistics to the risk management and forecasting problems arising in the renewable energy industry. The different contributions explore all aspects of the energy production chain: forecasting and probabilistic modelling of renewable resources, including probabilistic forecasting approaches; modelling and forecasting of wind and solar power production; prediction of electricity demand; optimal operation of microgrids involving renewable production; and finally the effect of renewable production on electricity market prices. ...
peer reviewedThis paper addresses the energy management of a grid-connected renewable generation pla...
The rapid increase of interest in renewable energy sources, like wind and solar energies, are inexha...
Deterministic models based on most likely forecasts can bring simplicity to the electricity power pl...
Forecasting for wind and solar renewable energy is becoming more important as the amount of energy g...
International audienceRenewable Energy Forecasting: From Models to Applications provides an overview...
International audienceThe papers in this special section focus on advances in renewable energy forec...
Fault detection, control, and forecasting have a vital role in renewable energy systems (Photovoltai...
We rely on information from forecasts to formulate optimal decisions every day with our limited reso...
The increasing penetration of renewable energy sources into the electricity generating mix poses cha...
Solar and wind energy are inherently time-varying sources of energy on scales from minutes to season...
The government is planning to switch the main energy sources from fuels to renewables in accordance ...
Forecasting of renewable energy generation is a mature R&D area, also with a lot of operational expe...
The expansion of renewable energy sources is destined to increase and requires the development of th...
Deterministic forecasts of wind production for the next 72 h at a single wind farm or at the regiona...
International audienceAs weather-dependent renewable (RES) power plants tend to substitute dispatcha...
peer reviewedThis paper addresses the energy management of a grid-connected renewable generation pla...
The rapid increase of interest in renewable energy sources, like wind and solar energies, are inexha...
Deterministic models based on most likely forecasts can bring simplicity to the electricity power pl...
Forecasting for wind and solar renewable energy is becoming more important as the amount of energy g...
International audienceRenewable Energy Forecasting: From Models to Applications provides an overview...
International audienceThe papers in this special section focus on advances in renewable energy forec...
Fault detection, control, and forecasting have a vital role in renewable energy systems (Photovoltai...
We rely on information from forecasts to formulate optimal decisions every day with our limited reso...
The increasing penetration of renewable energy sources into the electricity generating mix poses cha...
Solar and wind energy are inherently time-varying sources of energy on scales from minutes to season...
The government is planning to switch the main energy sources from fuels to renewables in accordance ...
Forecasting of renewable energy generation is a mature R&D area, also with a lot of operational expe...
The expansion of renewable energy sources is destined to increase and requires the development of th...
Deterministic forecasts of wind production for the next 72 h at a single wind farm or at the regiona...
International audienceAs weather-dependent renewable (RES) power plants tend to substitute dispatcha...
peer reviewedThis paper addresses the energy management of a grid-connected renewable generation pla...
The rapid increase of interest in renewable energy sources, like wind and solar energies, are inexha...
Deterministic models based on most likely forecasts can bring simplicity to the electricity power pl...