Proper Statistical Analysis of Data Mining Techniques
Conducting statistical analysis on data sets is crucial for evaluating the performance of data mining techniques. This involves proper partitioning of data sets and using statistical tests to compare methods, ensuring the safe use of parametric and non-parametric tests. Understanding normality and employing correct data set partitioning techniques can help prevent issues like underfitting and overfitting.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
An introduction to the Danish An introduction to the Danish Intelligent Energy Alliance Intelligent Energy Alliance
Danish Energy established Danish Danish Energy established Danish Intelligent Energy Alliance in 2012 Intelligent Energy Alliance in 2012 The Danish Energy Association is a commercial and professional organization for Danish energy companies. Danish Intelligent Energy Alliance organizes the entire value chain of contributors to the development of the energy system including the energy companies, utilities, municipalities, suppliers.
Danish Intelligent Energy Alliance Danish Intelligent Energy Alliance WHY? WHY? The energy system is undergoing a significant transformation due to political and technological drivers such as Technology Technology- - suppliers suppliers Investors Investors Consultancies Consultancies Municipalities Municipalities This calls for close cooperation between infrastructure owners and related stakeholders to develop an INTEGRATED and FLEXIBLE energy system that maximizes the value of the increasing amount of intermittent energy production. Research Research Institutions & Institutions & Academia Academia Energy and Energy and utilities utilities (electricity, gas heating, waste- water) INTEGRATED
Members Members ENERGY COMPANIES ENERGY COMPANIES & UTILITIES & UTILITIES TECHNOLOGY TECHNOLOGY SUPPLIERS SUPPLIERS MUNICIPALITIES MUNICIPALITIES NorthQ Nuuve Panasonic Danmark Robert Bosch,Termoteknik Rockwool Siemens SimService SUNTHERM Schneider Electric Denmark Velux Vestas Wind Systems VISUE V lund Varmeteknik Albertslund Kommune Egedal Kommune K benhavnsKommune Middelfart Kommune Skive Kommune S nderborg Kommune Aarhus Kommune ABB Breakout Image Danfoss Enopsol Eurisco Ezenta F-Secure Glen Dimplex Nordic Gorlitz Danmark GreenLab Skive Griffin People Grundfos Holding IBM Insero Energy - Best Green Kamstrup Landis+Gyr MetroTherm Microsoft NeogridTechnologies NODES Nokia Denmark AURA Energi (Dinel) Billund Vand BlueKolding Energi Danmark Energi Fyn Holding Eniig (N1) EWII (TREFOR) Fredericia Spildevand og Energi GEV A/S Grindsted elnet HMN Naturgas Jysk Energi Elnet - NOE Kalundborg Forsyning NEAS Energy NRGi (KONSTANT Net) OK A.m.b.a. SE Holding (Evonet) SEAS-NVE (Cerius) Vejle Spildevand rsted (Radius Elnet) INVESTORS INVESTORS Jyske Bank Nykredit PensionDanmark PKAAIP CONSULTANCIES CONSULTANCIES 1st Mile Balslev R dgivende Ingeni rer COWI Cronborg Innovation Green TechCenter HortenAdvokatpartnerskab 4
How? Its all about data! How? It s all about data! Digitalization is the key enabler for developing an integrated and flexible energy system. The Board of Danish Intelligent Energy Alliance has adopted three key objectives that are reflected in the activities of the Alliance: Key objectives: Improve the framework conditions in order to maximize the value from the digitalization of energy and utilities Provide a platform to share and document best practice from using data to optimize grid operation, network planning, asset management and investment decisions Facilitate the dialogue between infrastructure owners and new players on how to use data to develop new business concepts for the benefit of the customer Source: Smart Cities White Paper, State of Green (2018)
Organization Organization Smart Grid Smart Grid Flexible Flexible Electricity Electricity Demand Demand Objective: Support the roll out of smart and secure grid components and digital solutions. Objective: Promote optimal conditions for flexible electricity demand. Smart Energy Smart Energy Objective: Efficient resource utilization by promoting integration and flexibility across supply species (electricity, gas, heating, wastewater etc). Heat Pump Heat Pump Forum Forum Energy Energy Efficiency Efficiency Objective: Improve the for framework conditions for heat pumps in individual and decentralised heating. Objective: Strengthen focus on energy efficiency both flexibility and savings in buildings, industry and transport.
For more information contact: For more information contact: Helle Juhler-Verdoner, Managing Director +45 35 300 456 hjv@danskenergi.dk Jeppe Wraae Nielsen, Consultant +45 35 300 455 jwn@danskenergi.dk
