Abstract
The chapter has presented the current context of demand modelling with a focus on stochastic bottom-up techniques. This methodology has been contextualised between all other strategies, pointing out the reasons and arguments that make this approach the most suitable in the context of this book. Next, the methodology for implementing this modelling technique has been shown, addressing the main parts of the system, as well as the basis and fundamentals of each of them. Subsequently, the simulation procedure that is employed for generating the results has been explained by means of detailed flow charts, listing the main input parameters and how they can be obtained. Finally, the application areas have been discussed. The validity of this model for demand prediction has been shown, although its stochastic nature does not make it the most suitable tool for accurate energy predictions. However, it has shown a unique ability in the fields of energy policy assessment, demand response strategies development, and distribute energy resources integration and planning, all of these due to its capability of simulating the appliances at a low level and always in relation to human behaviour. This emphasises the important role that stochastic modelling techniques can play in the energy planning and management sector.
| Original language | English |
|---|---|
| Title of host publication | Large Scale Grid Integration of Renewable Energy Sources, 2nd Edition |
| Subtitle of host publication | Solutions and technologies |
| Publisher | Institution of Engineering and Technology |
| Pages | 223-254 |
| Number of pages | 32 |
| ISBN (Electronic) | 9781839538438 |
| ISBN (Print) | 9781839538421 |
| DOIs | |
| Publication status | Published - 1 Jan 2024 |
| Externally published | Yes |