PLEGMA LABS R&D PROJECTS
Plegma Labs has inherited the expertise, technical know-how and hands-on project management experience of our founders, who have participated in numerous European Commission and National Programmes for Research & Innovation. We are actively pursuing opportunities to collaborate with other researchers, academic organizations and industrial stakeholders in the fields of IoT, energy, ICT, environmental sensing, smart cities, machine learning etc, especially in view of the Horizon Europe upcoming calls. Please feel free to contact us with your propositions.
Nethelix: Intelligent digital toolbox towards more sustainable and safer extraction of mineral resources
Plegma Labs is delighted to participate in the Nethelix project. NetHelix demonstrates in real-life settings a toolbox of new technologies for automating and streamlining the extraction process, taking advantage of deposits through mining and waste deposits processing methods, maximising efficiency, reducing waste production, and increasing...
DARE
Data spAces for smaRt Energy (DARE) Trustworthy and effective sharing of IoT device data in smart buildings across stakeholders, enabling intelligent energy management services. The objective of the experiment is to enable innovative cross-sectoral services to be delivered on top of vendor and application-specific building...
EMERGENT
a usEr-driven energy Management systEm foR enerGy Efficiency iN faciliTies The EMERGENT project aims to develop and demonstrate a user-driven Energy Management System (EMS) for energy efficiency in facilities. Specifically, EMERGENT leverages the available historical and real-time data related to a facility. It merges them...
PUMP: Predictive Upcycling Maintenance Platform
Plegma Labs has been awarded cascading funding from the Kyklos 4.0 2nd Open Call in order to conduct the PUMP experiment alongside the PUMP consortium. The PUMP project will apply existing energy monitoring tools and advanced ML models, utilizing also the services and technologies of...
Enviromed
Plegma Labs is excited to announce our participation in the ENVIROMED project. funded ENVIROMED aims at reducing the overall environmental impact of pharmaceuticals via: a) reducing the environmental footprint of the manufacturing processes, and b) better understanding of the environmental impact of pharmaceuticals. Plegma Labs...
SelectShare
Plegma Labs has been awarded cascading funding from the NGI DAPSI 3rd Open Call in order to conduct the Selectshare experiment alongside the Selectshare consortium. Selectshare will innovate in two directions: Firstly, it will provide a framework for allowing discovery and selective disclosure of IoT...
REMOCLEC
Plegma Labs has been awarded cascading funding from the Smart4All 2nd CTTE Open Call in order to conduct the Remoclec experiment alongside the Remoclec consortium. The experiment will implement a novel product: an ARM-based remote lab for IoT&CLEC to allow students, trainees & developers to...
e-PIOTIS: energy oPtimization of building IOT Infrastructures in a Stratified way
PLEGMA has been awarded cascading funding from the PLATOON Open Call in order to conduct the e-PIOTIS project. The e-PIOTIS project aims at developing and demonstrating a holistic AI-enabled Energy Management System (EMS) for building and district-level energy efficiency, management, and maximization of RES utilization....
RES4LIVE: Energy Smart Livestock Farming towards Zero Fossil Fuel Consumption
Plegma Labs is thrilled to announce our participation in RES4LIVE! The strategic objective of this H2020 Innovation action is to develop and bring into the market integrated, cost-effective and case-sensitive RES solutions towards achieving fossil-free livestock farming. To that end, RES4LIVE will adapt and test...
GECKO
A Marie Skłodowska-Curie Innovative Training Network. Plegma Labs is very pleased to join the GECKO ITN project, which aims to bring together the latest scientific advances, establishing a unique synergy between the social sciences, information sciences, and engineering. Based on a deep understanding of how...
euPOLIS: Integrated NBS-based Urban Planning Methodology
Our Research & Innovation team at Plegma Labs are proud to announce that our company is participating in the euPOLIS project, an international smartcities & NBS research project focusing on an “Integrated NBS-based Urban Planning Methodology, interconnecting the knowledge and experience of 28 partnering entities...
eco-bot: Technology for the Active Engagement of Consumers Towards Sustainable Energy {completed}
Eco-Bot utilizes recent advances in chatbot tools and advanced signal processing (i.e. energy disaggregation) using low-resolution smart meter-type data with the goal of changing their behaviour towards energy efficiency. Eco- Bot targets to a personalized virtual energy assistant to deliver information on itemized (appliance-level) energy usage through a...
CLARION: Machine health assessment via energy monitoring {completed}
Plegma Labs has been awarded cascading funding from the Cloudifactoring Open Call in order to conduct the Clarion experiment alongside the Clarion consortium. The CLARION experiment aims to cloudify existing non-intrusive energy monitoring tools and advanced ML models to analyse the patterns in electrical loads...
PREDIVIS: Hardware accelerated energy disaggregation for energy efficiency and predictive maintenance applications
The PREDIVIS project explores hardware-accelerated energy disaggregation for energy efficiency and predictive maintenance applications and is being carried out by Sarantis Kotsilitis, our Head of Technology. Plegma Labs is sponsoring the first of its kind (in Greece) Industrial Ph.D. in partnership with the National Center...
ChArGED: Cleanweb Gamified Energy Disaggregation {completed}
Plegma Labs is very proud to have been part of the ChArGED project addressing energy consumption in public buildings. ChArGED proposed a framework that aims to facilitate achieving greater energy efficiency and reductions of wasted energy in public buildings. The framework leverages IoT-enabled, low-cost devices...