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Sabah's RM100mil scheduled waste treatment facility up and running at Sogip

KOTA KINABALU: Sabah’s first scheduled waste treatment facility is now operational at the Sipitang Oil and Gas Industrial Park (Sogip).

Sabahan , Sabah , Malaysia , Kinabalu , Sipitang , Sdn-bhd , Datuk-phoong-jin , Hajiji-noor , Evolusi-bersatu , Industrial-development , Sipitang-oil , Gas-industrial-park

UW Oshkosh academic remodel looks to increase efficiency and save money

UWO will go four four colleges to three, reducing administrative costs to help the university towards reducing its $3 million budget deficit.

Ed-martini , Martini , University-of-wisconsin-oshkosh , Wisconsin-oshkosh , Academic-remodel , Budget-deficit , Career-readiness , Cost-saving , Efficiency , Interdisciplinary-schools , Save-money , Uw-oshkosh

Presto Awarded ZED Certification for Excellence in Manufacturing

Presto Awarded ZED Certification for Excellence in Manufacturing
aninews.in - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from aninews.in Daily Mail and Mail on Sunday newspapers.

Delhi , India , Gaurav-malhotra , Vishal-malhotra , Medium-enterprises , Team-presto , Presto-group , Team-work , Uttar-pradesh , Zero-defect-effect , Brand-image , Cost-saving

Goodyear EV Tires and Retreads

Goodyear EV Tires and Retreads
cleantechnica.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from cleantechnica.com Daily Mail and Mail on Sunday newspapers.

Goodyear-electricdrive , Paul-fosse , Richard-kramer , Soundcomfort-technology , Goodyear , Nextera-energy , Tesla-model , Ford-mustang-mach-e , Goodyear-sightline , Ultimate-in-reuse , Cost-saving , Honda-civic

CDC Says America is at A Crossroads with HIV/AIDS

By Stacy M. Brown NNPA Newswire Senior National Correspondent @StacyBrownMedia On the eve of World AIDS Day, the U.S. Centers for Disease Control and Prevention put out a call for urgency and a collective commitment to ending the HIV pandemic in America. Agency officials said while there has been recent progress in HIV prevention, the

United-states , America , Stacym-brown , Robyn-neblett-fanfair , Newswire-senior-national-correspondent , Us-centers-for-disease , National-center , Senior-national , Disease-control , Acting-division-director , A-nation , Agency-officials

Contributor: Preparing for Massive MTM Program Expansion—Pharmacy-Led Medical Cost Savings to Fund CMS Changes

Changes in the medication therapy management (MTM) program willl require planning on how to best fund this program in a way that drives medical cost savings.

Medicare-advantage , Star-ratings , Mtm , Medicare , Cost-saving ,

The Marine Corps Needs a Local Supply-Web Logistics System

The Marine Corps Needs a Local Supply-Web Logistics System
usni.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from usni.org Daily Mail and Mail on Sunday newspapers.

California , United-states , Baghdad , Iraq , Camp-pendleton , Kuwait , Oman , Davidh-berger , Ace-hardware , Mountain-warfare-training-center , A-national-item-identification-number

Energies | Free Full-Text | Battery and Hydrogen Energy Storage Control in a Smart Energy Network with Flexible Energy Demand Using Deep Reinforcement Learning

Smart energy networks provide an effective means to accommodate high penetrations of variable renewable energy sources like solar and wind, which are key for the deep decarbonisation of energy production. However, given the variability of the renewables as well as the energy demand, it is imperative to develop effective control and energy storage schemes to manage the variable energy generation and achieve desired system economics and environmental goals. In this paper, we introduce a hybrid energy storage system composed of battery and hydrogen energy storage to handle the uncertainties related to electricity prices, renewable energy production, and consumption. We aim to improve renewable energy utilisation and minimise energy costs and carbon emissions while ensuring energy reliability and stability within the network. To achieve this, we propose a multi-agent deep deterministic policy gradient approach, which is a deep reinforcement learning-based control strategy to optimise the scheduling of the hybrid energy storage system and energy demand in real time. The proposed approach is model-free and does not require explicit knowledge and rigorous mathematical models of the smart energy network environment. Simulation results based on real-world data show that (i) integration and optimised operation of the hybrid energy storage system and energy demand reduce carbon emissions by 78.69%, improve cost savings by 23.5%, and improve renewable energy utilisation by over 13.2% compared to other baseline models; and (ii) the proposed algorithm outperforms the state-of-the-art self-learning algorithms like the deep-Q network.

United-kingdom , Google-deepmind , Keele-university , Energy-balance-model , Smart-energy-network , Smart-energy-network-demonstrator , Deepq-networks , Wind-turbine , Optimal-control , Cost-saving ,