Essays about: "quantity forecasting"

Showing result 6 - 10 of 18 essays containing the words quantity forecasting.

  1. 6. Intelligent hydropower : Making hydropower more efficient by utilizing machine learning for inflow forecasting

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Jakob Claesson; Sam Molavi; [2020]
    Keywords : machine learning; inflow forecasting; hydropower; HBV model; maskininlärning; tillrinningsprognostisering; vattenkraft; HBV-modell;

    Abstract : Inflow forecasting is important when planning the use of water in a hydropower plant. The process of making forecasts is characterized by using knowledge from previous events and occurrences to make predictions about the future. Traditionally, inflow is predicted using hydrological models. READ MORE

  3. 7. high loaded anaerobic mesophilic digestion of sewage sludge : An evaluation of the critical organic loading rate and hydraulic retention time for the anaerobic digestion process at Käppala Wastewater Treatment Plant (WWTP).

    University essay from Mälardalens högskola/Framtidens energi

    Author : Ibrahima Sylla; [2020]
    Keywords : Dewaterability; Mesophilic anaerobic digestion; Methane; Organic load rate; Renewable energy source; Sludge filterability; Wastewater treatment.; Avvattningsförmåga; mesofil anaerob rötning; metan; organisk belastning; förnybar energikälla; slammets filtrerbarhet; vattenrening;

    Abstract : Käppala wastewater treatment plant (WWTP) has, during a few years, observed an increase in organic loading rate (OLR) in the mesophilic anaerobic digester R100, due to an increased load to the WWTP. The digestion of primary sludge at Käppala WWTP is today high loaded, with a high organic loading rate (OLR) and low hydraulic retention time (HRT). READ MORE

  4. 8. HIGH LOADED ANAEROBIC MESOPHILIC DIGESTION OF SEWAGE SLUDGE : An evaluation of the critical organic loading rate and hydraulic retention time for the anaerobic digestion process at Käppala Wastewater Treatment Plant (WWTP).

    University essay from Mälardalens högskola/Akademin för ekonomi, samhälle och teknik

    Author : Ibrahima Sory Gärdeklint Sylla; [2020]
    Keywords : Dewaterability; Mesophilic anaerobic digestion; Methane; Organic load rate; Renewable energy source; Sludge filterability; Wastewater treatment.; Avvattningsförmåga; mesofil anaerob rötning; metan; organisk belastning; förnybar energikälla; slammets filtrerbarhet; vattenrening;

    Abstract : Käppala wastewater treatment plant (WWTP) has, during a few years, observed an increase in organic loading rate (OLR) in the mesophilic anaerobic digester R100, due to an increased load to the WWTP. The digestion of primary sludge at Käppala WWTP is today high loaded, with a high organic loading rate (OLR) and low hydraulic retention time (HRT). READ MORE

  5. 9. Evaluation of high-resolution satellite precipitation products with ground-based measurements over Europe

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Svea Bertolatus; [2020]
    Keywords : Precipitation; satellite product evaluation; passive microwave; estimates; Europe; ground- based gauge data; Earth and Environmental Sciences;

    Abstract : Determining water quantity of precipitation, spatially and temporally is fundamental for weather forecasting, applications in hydrology and meteorology, climate science and for agriculture and industry. Only satellite measurements from space are able to perform large-scale measurements covering both, ocean and land. READ MORE

  6. 10. Influence of different frequencies order in a multi-step LSTM forecast for crowd movement in the domains of transportation and retail

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Manuel Cadarso Salamanca; [2018]
    Keywords : LSTM; frequency; forecast; neural network; LSTM; frekvens; prognos; neurala nätverk;

    Abstract : Denna avhandling presenterar ett tillvägagångssätt för att förutspå förflyttning inom folkmassor med hjälp av LSTM-neurala nätverk. Specifikt analyseras inflytandet som olika frekvenser av tidsserier har på både prognosen för folkmassorna och designen i arkitekturen inom transport och handel. READ MORE