Essays about: "Spatial Load Forecasting"

Found 3 essays containing the words Spatial Load Forecasting.

  1. 1. Load Demand Forecasting : A case study for Greece

    University essay from Högskolan i Gävle/Energisystem och byggnadsteknik

    Author : Sotirios-Ilias Tsivras; [2019]
    Keywords : ENTSO-E; Load Demand Curve; Spatial Load Forecasting; Python; Demand Side Management; Hellinikon Project; Non Interconnected Islands; Electric Vehicles; Renewable Energy Sources.;

    Abstract : It is more than a fact that electrical energy is a main production factor of every economic activity. Since electrical power is not easy to store, it needs to be consumed as it is generated in order to keep a constant balance between supply and demand. READ MORE

  3. 2. Predicting Hourly Residential Energy Consumption using Random Forest and Support Vector Regression : An Analysis of the Impact of Household Clustering on the Performance Accuracy

    University essay from KTH/Matematisk statistik

    Author : William Hedén; [2016]
    Keywords : ;

    Abstract : The recent increase of smart meters in the residential sector has lead to large available datasets. The electricity consumption of individual households can be accessed in close to real time, and allows both the demand and supply side to extract valuable information for efficient energy management. READ MORE

  4. 3. Modeling the evolution of wildfire : an analysis of short term wildfire events and their relationship to meteorological variables

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Sean Demet; [2014]
    Keywords : evolution of wildfire; fire; wildfire; fire radiative power; Ecosystem Analysis; Physical Geography and Ecosystem Sciences; Physical Geography; linear regression modeling; Bayesian Information Criteria; Köppen-Geiger Climate Classification; Earth and Environmental Sciences;

    Abstract : Wildfire events are expected to increase with the changing climate; thereby increasing atmospheric, economic, and anthropogenic impacts. Gaining a real-time understanding of the evolution of wildfire events can benefit regional meteorology models, global atmospheric models, and hazard warning systems. READ MORE