Improving Energy Efficiency through Data-Driven Modeling, Simulation and Optimization

• Andere auteurs: Deschrijver, Dirk (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Onderwerpen: Technology: general issues; passive house; enclosure structure; heat transfer coefficient; energy consumption; turbo-propeller; regional; fuel; weight; range; design; CO2 reduction; multi-objective combinatorial optimization; meta-heuristics; ant colony optimization; non-intrusive load monitoring; appliance classification; appliance feature; recurrence graph; weighted recurrence graph; V-I trajectory; convolutional neural network; energy baselines; machine learning; clustering; neural methods; smart intelligent systems; building energy consumption; building load forecasting; energy efficiency; thermal improved of buildings; anti-icing; heat and mass transfer; heating power distribution; heat load reduction; optimization method; experimental validation; big data process; predictive maintenance; fracturing roofs to maintain entry (FRME); field measurement; numerical simulation; side abutment pressure; strata movement; energy; manufacturing; prediction; forecasting; modelling; n/a
• Online toegang: DOAB: download the publication; DOAB: description of the publication

In October 2014, the EU leaders agreed upon three key targets for the year 2030: a reduction by at least 40% in greenhouse gas emissions, savings of at least 27% for renewable energy, and improvements by at least 27% in energy efficiency. The increase in computational power combined with advanced mo...