This energy profile provides recent data on the energy sector of Madagascar, including generation mix,total generation, renewable energy potential and more.
This report assesses the progress of the energy transition in the Dominican Republic and identifies future pathways.
This guide aims to help energy statisticians understand the various elements and processes involved in renewable energy data collection and management, and identify capacity gaps. It covers seven requirements for effective data management: 1. Legal and institutional frameworks; 2. Well-defined data requirements; 3. Sufficient skilled personnel; 4. Clear methodologies and processes; 5. Appropriate data collection […]
The is comprehensive course is intended for energy statisticians working at national statistical offices and ministries in charge of energy.
This paper underscores the need for sustainable utilities to deliver the energy transition in lower- and middle-income countries, and provides recommendations to governments and other stakeholders.
This report highlights the economic, social and environmental benefits that energy and transport sector-coupling and a transition towards EV- and RE-based, efficient systems can create in small island settings, and provides tools for the planning of such a transition.
This report explores the critical intersections of AI development, gender equality and energy transitions, emphasizing how AI applications can advance a sustainable, equitable and just energy transition.
This paper discusses the role of AI in the energy transition in Latin America, identifies key factors for successful implementation in the region and proposes an AI maturity model for the energy transition that allows stakeholders to assess the status and gaps for the AI adoption.
The Green Cement Technology Tracker aims to support decision-makers and experts in policy and industry, academia as well as civil society, by tracking public announcements of investments in low-carbon cement technologies and presenting them transparently in one place.
This study examines the integration of AI into energy management processes in industrial facilities and the advantages it provides.