Energy Performance & Consumption Data | Worldwide Public Companies ESG data | Datacie ESG

This dataset is part of Datacie’s ESG collection covering climate and other environment-related indicators. Access this comprehensive compilation of companies’ energy performance data to understand, measure, and make informed decisions about climate-related risks, regulatory requirements (e.g., SFDR, EU Taxonomy, TCFD), corporate engagements, and impact investing. USE CASES & BENEFITS: Asset managers - create unique and differentiated ESG portfolio strategies that align with your investors’ preferences and your firm’s positioning while generating better returns. Commercial Banks - explain how your recommendations meet your clients’ sustainability preferences by providing them easy-to-understand, relevant ESG metrics in your communications. Consultants - support the development of your clients’ ESG policies and methodologies with high-quality data & market insights. Corporates - benchmark your company against your peers in terms of sustainability and understand the data that your investors use to build a fair view of your company. Fund managers - create funds that reflect your policies on the integration of sustainability risks & impacts in your investment decision-making process or advisory services. Institutional managers - comply with ESG regulatory requirements and provide confidence to your clients that require greater transparency around climate change. Risk managers - derive climate risk-mitigating strategies by adjusting your exposure to certain companies and sectors. Engaged investors - build persuasive arguments to engage effectively with corporates to raise awareness about their insufficient level of disclosures or non-compliance with key disclosure frameworks. Researchers - empower your research with the industry’s broadest ESG content set and convince decision-makers with empirical facts and findings. METHODOLOGY Datacie’s Energy Performance & Consumption data solution is built from all available data sources that contain ESG information on publicly listed companies, including self-reported filings, CSR reports, press releases, corporate websites & other corporate disclosures. As a trusted data partner, Datacie is committed to delivering competitive and error-free data products to its clients. To this end, we are leveraging our proprietary data extraction technology to capture most of the reported energy performance and consumption data from unstructured sources (websites, documents, media releases...) automatically. By construction, our technology predicts diverse quality indicators for each data point acquired; our ESG experts then review these quality indicators and carry thorough qualitative investigations of the extracted information, guaranteeing that our energy performance and consumption compilations are fully accurate and that no crucial items are missed. After inception, the entire dataset is audited and evaluated for trustworthiness. Every data entry passes through hundreds of quality checks that automatically identify outliers and potentially misreported observations. Additional manual checks are performed on low-confident data points, ensuring that the final data product is free from poor-quality observations. Note that all the energy measures that have been reported in other units than per gigawatt-hour (examples: joules or multiples) were standardized in gigawatt-hour when a conversion rule was disclosed or when conversion factors exist; otherwise, they were discarded from the dataset to ensure comparability across time and entities. The dataset is currently available as reported. Datacie has created an NLP-based classification algorithm (leveraging semantic similarity & self-attention mechanisms) to map the “As Reported” breakdown of non-renewable energy sources into 6 classes when data is available: distilled fuel, natural gas, fuels extracted from natural gas processing and petroleum refining, coal, nuclear power and other sources. STATUS & DELIVERY The Energy Performance & Consumption dataset is currently being compiled and prepared for our clients’ preferred usage; additional coverage (temporal and company-wise) and existing/new columns can be modified/added on demand. Contact us and be among the first to benefit from this data solution to inform your climate-related decisions with the highest quality, cost-effective data of the market.

搜集汇总

背景与挑战

背景概述

该数据集涵盖全球上市公司的标准化能源绩效与消耗数据，通过自动化提取和人工审核确保数据质量，支持资产管理、银行咨询等七类机构的ESG决策需求。数据采用千兆瓦时统一计量，并可通过NLP算法对非可再生能源进行六类细分。